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Job Description Position: AI Capability Lead (Mid-Level) – Service Delivery and Internal Remote Work Option: Yes Function: Client Delivery; AI Literacy, Implementation, and Strategic Enablement Location: Remote Site/Cobec Site - DC Salary Range: $90-140k Security Requirements Must be a US citizen or a legal resident for three of the past five years. Public Trust cannot be granted without meeting the residency requirement. Must meet eligibility requirements for a US Public Trust security clearance (moderate risk), including a soft credit check and criminal background check. Please refer to the criteria listed in 5 CFR 731.202 to understand the Public Trust suitability requirements. Culture Cobec is consistently breaking the current mold for delivering services to our government clients. What does that mean? That means believing in a “people first” mentality, building high performance teams and empowering people to make informed decisions without going through a large bureaucratic system. Cobec values the well-being of employees and bestows tremendous trust in those people to negotiate work and non-work obligations. Cobec is where someone can bring their whole self to work and be themselves, never having to compromise their authenticity just to fit in. Lastly, we believe in the work we do, the goals and missions of our customers and the interpersonal relationships we have with clients, stakeholders and our people. Values and Expectations The successful candidate for this role embodies the same values as Cobec. We realize experience is important, however; Cobec believes a person’s abilities and skills that align with our values (Relationships, Leadership, Passion, Accountability, Integrity, Innovation, Quality, Teamwork, Diversity, Commitment, & Respect) are the most important drivers for success in this role. In addition to exhibiting our values, a successful candidate for this role is expected to be a high performer, organized, dynamic, and have a positive attitude. Job Summary We are seeking a passionate and solutions-oriented AI Capability Lead to help Cobec and our clients move into the future with AI literacy, AI-enabled products, and AI-driven strategic initiatives. This mid-level role is designed for someone with strong hands-on experience—capable of delivering billable work—while also advancing AI adoption and maturity across organizations. The successful candidate will work directly with government and commercial clients to identify opportunities for AI implementation, integrate AI into products and business processes, and drive organizational AI enablement. This role will also contribute to Cobec’s internal AI capability building, ensuring our consulting and staff augmentation services remain ahead of the curve. Relevant Experience • 3–8 years of professional experience, including:, • At least 4 years in AI/ML model development, integration, or applied AI projects., • Experience supporting or delivering consulting, client-facing, or project-based work., • Experience with relational databases and at least one programming language (Python preferred)., • Familiarity with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and cloud platforms (AWS, Azure, GCP)., • FAA or federal experience preferred but not required., • Ability to translate complex AI concepts into actionable strategies for non-technical stakeholders., • Experience facilitating workshops, briefings, or training sessions to improve AI literacy., • Proven ability to work both strategically and hands-on in AI project delivery. Essential Job Functions The following duties are normal for this position. The omission of specific statements of duties does not exclude them from this position if the work is similar, related, and/or a logical assignment for this position. Other duties may be required and assigned. Client Delivery & Billable Work • Partner with government and commercial clients to scope and deliver AI-enabled solutions., • Translate complex AI concepts into clear, actionable strategies for non-technical stakeholders., • Conduct needs assessments, feasibility studies, and business case analyses for AI adoption., • Provide hands-on support for AI model development, integration, or optimization within client projects., • Develop and deliver training sessions, briefings, and workshops to enhance AI literacy for clients and internal teams., • Create reusable frameworks, playbooks, and templates for AI adoption in consulting engagements., • Design and integrate AI/ML models into enterprise or mission-critical applications., • Collaborate with software engineers, data scientists, and analysts to implement AI features., • AI Roadmap & Strategy Development – Partner with client and Cobec leadership to design AI adoption strategies and multi-year roadmaps that align with mission objectives, funding cycles, and policy requirements, while identifying opportunities across the consulting portfolio., • Change Management & Responsible AI Integration – Lead change management efforts to ensure successful AI adoption, embedding ethical guidelines, governance frameworks, and performance measures to track impact and ensure responsible, value-driven implementation., • Ethics & Governance Integration – Ensure AI solutions adhere to principles of fairness, transparency, and regulatory compliance., • Cross-Portfolio AI Opportunities – Identify opportunities to embed AI across Cobec’s consulting and staff augmentation portfolios., • Performance Measurement & Impact Tracking – Establish metrics and KPIs to assess the effectiveness and ROI of AI initiatives., • Monitor emerging AI trends, tools, and regulations, and assess their impact on client operations., • Contribute to proposals and business development activities for AI-related opportunities., • Act as an internal champion for AI adoption across Cobec’s service lines. Education Requirements Bachelor’s degree required, preferably in Computer Science, Information Systems, Engineering, or related field. Master’s degree is a plus and may count as additional years of experience. Skills Requirements • Strong communication and facilitation skills; able to bridge technical and non-technical audiences., • Solutions-oriented mindset with a focus on measurable impact., • Ability to work independently and collaboratively in multi-disciplinary teams., • Comfortable in both strategic discussions and hands-on technical work., • Commitment to Cobec’s values: Relationships, Leadership, Passion, Accountability, Integrity, Innovation, Quality, Teamwork, Diversity, Commitment, and Respect., • Intermediate proficiency in Software Configuration Management techniques and tools (GIT, Bitbucket, etc...). EEO Cobec, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, veteran status or any other status protected by federal, state and local law. EEO is the Law

Job Type: Term (Fixed Term) Overview RAND's ___, part of the Global and Emerging Risks (GER) Division conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. Your work will address key questions related to securing AI systems, understanding their cyber capabilities, and examining their policy implications. You will be responsible for leading complex projects that span technical research, policy analysis, and infrastructure development. For example, you might lead projects to develop AI-specific threat models, build software tools for AI cyber capability evaluations, or identify critical areas for new security R&D. Your work will inform analysis delivered to senior government and industry leaders. You will communicate the results of your work to both technical and non-technical audiences through quick-turnaround policy briefs and detailed written research products. A recent example of one of our research products is the ___ report, which explored protecting frontier AI models from theft and misuse. This position is structured as a two-year appointment with options to renew and explore opportunities for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As a Visiting AI Security Resident, you'll maintain that excellence while engaging with some of the most pressing challenges of our time. Qualifications All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Required: * Technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields * Technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members * Demonstrated ability to successfully lead complex projects to completion * Proficiency in Python, Java, C/C++, or other popular programming languages * Ability to develop rigorous and comprehensive ___ and identify potential system vulnerabilities * Excellent communication skills, both written and verbal, tailored to technical and non-technical audiences * Ability to reason about policy options given different technical considerations * Ability to work effectively in a collaborative, multidisciplinary environment * Fluency with MS Office suite Preferred: * Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience * Experience with red team operations or offensive cyber capabilities development * Understanding of ___ (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them * Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations * Familiarity with U.S. cybersecurity agencies, authorities, and policy development processes * Experience working in or with government on cybersecurity policy * Experience with advising non-technical stakeholders on security topics * Familiarity with the AI/ML hardware stack (e.g., GPUs, TPUs, data center design) * Familiarity with the AI/ML software stack (e.g., CUDA, PyTorch, TensorFlow, Ray) * Experience working on AI research, ML model training, or model deployment * Experience with securing AI systems Education Requirements RAND is hiring multiple Visiting AI Security Residents at associate, specialist, and expert levels of experience. Minimum education requirements at the associate level include: A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar is required. OR A Master's degree in the fields listed above with at least 3 years of relevant professional experience, is required. OR A Bachelor's degree in the fields listed above with at least 5 years of relevant professional experience, is required. Master's or PhD preferred. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA, Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US, along with US visa support, will also be considered. Writing or Code Sample Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains. Term This position is a three-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: $118,500 - $261,400 Visiting Technical Associate = $118,500 - $171,900 Visiting Technical Specialist = $$146,200 - $211,900 Visiting Technical Expert = $167,300 - $261,400 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As an AI Solutions Engineer within Cloudera's Public Sector Consulting team, you will be the technical architect and execution lead for agencies moving from "data chaos" to "agentic autonomy." You will work directly with government organizations to design, build, and deploy mission-critical AI applications on the Cloudera Data Platform (CDP). This is not a "theoretical" role. You will be on the front lines of Phase 2 and Phase 3 adoption journeys-helping customers clean legacy data silos, select the right model architectures, and industrialize MLOps pipelines in highly secure, often air-gapped or hybrid-cloud environments. As the AI Solutions Engineer you will: 1. AI Model Strategy, Selection and Implementation * Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost. * Guide customers on "Build vs. Buy vs. Fine-tune" decisions, prioritizing open-source models (Llama, Mistral, Falcon) that can run securely within a sovereign data perimeter. * Experience building Agentic Workflows (AI agents that can execute API calls and multi-step tasks). 2. End-to-End Data Engineering * Design and implement robust data pipelines within CDP to transform "messy" legacy data into AI-ready formats. * Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts. * Build Data pipelines with Spark, Nifi, Kafka or other ETL tools. 3. Optimization & Performance Tuning * Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration). * Implement LLMOps to monitor model performance, detect hallucination rates, and manage model versioning and drift. 4. Public Sector Advisory & Governance * Collaborate with the customer's AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance. * Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership. We're excited about you if you have: (Minimum Qualifications): * Experience: 5+ years in Data Engineering, Machine Learning, or Software Engineering, with at least 2 years focused on Generative AI or Deep Learning. * Technical Stack: Expertise in Python and deep learning frameworks (PyTorch, TensorFlow, Hugging Face). * Hands-on experience with Cloudera (CDP), Spark, or similar big data ecosystems. * Proficiency in orchestration tools like LangChain, LlamaIndex, or Haystack. * Experience developing visual data representations and dashboards (Django, React, or Angular) * Experience using a compiled programming language, preferably one that runs on the JVM (Java, Scala, etc) * Data Expertise: Proven ability to build ETL/ELT pipelines and work with both SQL and NoSQL/Vector databases (e.g., Pinecone, Milvus, or PGVector). * Public Sector Knowledge: Understanding of government security frameworks (NIST AI RMF, FedRAMP, SRGs, STIGs). * Active Top Secret Security Clearance You may also have: (Preferred Qualifications) * Experience fine-tuning of foundational models using techniques such as PEFT (Parameter-Efficient Fine-Tuning) and LoRA to adapt AI to domain-specific government nomenclature. * Experience training of specialized models on proprietary datasets while ensuring strict adherence to data privacy and sensitivity labels. * Experience installing and operating Cloudera Data Platform * Experience installing and operating Kubernetes * Experience in Air-Gapped deployments and managing AI workloads in disconnected environments. * Advanced degree (MS or PhD) in Computer Science, Data Science, or a related field. * Active Counterintelligence (CI) or Full Scope (FS) Poly is highly preferred. This role is not eligible for immigration sponsorship. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

Senior Machine Learning Engineer - Model Evaluations, Public Sector The Public Sector ML team at Scale deploys advanced AI systems-including LLMs, agentic models, and multimodal pipelines-into mission-critical government environments. We build evaluation frameworks that ensure these models operate reliably, safely, and effectively under real-world constraints. As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions. You will: • Develop and maintain automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge-based evaluations., • Design test datasets and benchmarks to measure generalization, bias, explainability, and failure modes., • Build evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing., • Conduct comparative analyses of model architectures, training procedures, and evaluation outcomes., • Implement tools for continuous monitoring, regression testing, and quality assurance for ML systems., • Design and execute stress tests and red-teaming workflows to uncover vulnerabilities and edge cases., • Collaborate with operations teams and subject matter experts to produce high-quality evaluation datasets. Ideally you'd have: • Experience in computer vision, deep learning, reinforcement learning, or NLP in production settings., • Strong programming skills in Python; experience with TensorFlow or PyTorch., • Background in algorithms, data structures, and object-oriented programming., • Experience with LLM pipelines, simulation environments, or automated evaluation systems., • Graduate degree in CS, ML, or AI., • Cloud experience (AWS, GCP) and model deployment experience., • Experience with LLM evaluation, CV robustness, or RL validation., • Knowledge of interpretability, adversarial robustness, or AI safety frameworks., • Familiarity with ML evaluation frameworks and agentic model design. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Type: Term (Fixed Term) Job Description Overview RAND's ___, part of the Global and Emerging Risks (GER) Division conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. Your work will address key questions related to securing AI systems, understanding their cyber capabilities, and examining their policy implications. You will be responsible for leading complex projects that span technical research, policy analysis, and infrastructure development. For example, you might lead projects to develop AI-specific threat models, build software tools for AI cyber capability evaluations, or identify critical areas for new security R&D. Your work will inform analysis delivered to senior government and industry leaders. You will communicate the results of your work to both technical and non-technical audiences through quick-turnaround policy briefs and detailed written research products. A recent example of one of our research products is the ___ report, which explored protecting frontier AI models from theft and misuse. This position is structured as a three-year appointment with options to renew and explore opportunities for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As an Associate AI Security Resident, you'll maintain that excellence while engaging with some of the most pressing challenges of our time. Qualifications All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Required: * Technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields * Technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members * Demonstrated ability to successfully lead complex projects to completion * Proficiency in Python, Java, C/C++, or other popular programming languages * Ability to develop rigorous and comprehensive ___ and identify potential system vulnerabilities * Excellent communication skills, both written and verbal, tailored to technical and non-technical audiences * Ability to reason about policy options given different technical considerations * Ability to work effectively in a collaborative, multidisciplinary environment * Fluency with MS Office suite Preferred: * Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience * Experience with red team operations or offensive cyber capabilities development * Understanding of ___ (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them * Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations * Familiarity with U.S. cybersecurity agencies, authorities, and policy development processes * Experience working in or with government on cybersecurity policy * Experience with advising non-technical stakeholders on security topics * Familiarity with the AI/ML hardware stack (e.g., GPUs, TPUs, data center design) * Familiarity with the AI/ML software stack (e.g., CUDA, PyTorch, TensorFlow, Ray) * Experience working on AI research, ML model training, or model deployment * Experience with securing AI systems Education Requirements RAND is hiring multiple Visiting AI Security Residents at associate I and associate II levels of experience. Minimum education requirements at the associate I level include: A BS in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar AND 1 year AI-focused real-world experience is required. OR A Master's degree in the fields listed above is required. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA, Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US, along with US visa support, will also be considered. Writing or Code Sample Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains. Term This position is a three-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: Visiting Technical Associate I = $90,400 - $134,400 Visiting Technical Associate II = $121,700 - $176,500 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. #LI-DNI Equal Opportunity Employer

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective. • Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization., • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting., • Ensures compliance with VA data governance, security, and privacy standards., • MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes;, • Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity, • Must be eligible to obtain a government clearance, • Master's degree in Data Science, Computer Science, Health Informatics, or Statistics, • 10+ years in data science or advanced analytics roles, • 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Short Term & Long Term Disability, • Training & Development

Job Description Senior / Lead Cloud AI Engineer Overview We’re seeking a Senior/Lead Cloud AI Engineer to design, build, and operate secure, mission-ready AI capabilities in federal cloud environments. This role blends cloud engineering, MLOps, and AI/ML engineering to deliver scalable, compliant solutions—from data pipelines and model training to deployment, monitoring, and continuous improvement—often in regulated or classified settings. Key Responsibilities · Cloud & Platform Engineering (AI-Ready Foundations) · Design, implement, and maintain cloud infrastructure and platform services (AWS, Azure, or GCP) that support AI/ML workloads in secure federal environments. · Build and manage Infrastructure-as-Code (IaC) and automated configuration for repeatable environments using tools such as Terraform or native cloud templates. · Develop and maintain CI/CD pipelines enabling automated build, test, and deployment of cloud and AI services. · Implement containerized and orchestrated runtime environments for AI services using Docker and Kubernetes/OpenShift. · Engineer reliability, scalability, and performance through automation, monitoring, and operational best practices. AI / ML Engineering & MLOps · Develop and deploy AI/ML solutions, including traditional machine learning and generative AI use cases. · Design and operate production-grade MLOps pipelines for model training, testing, deployment, versioning, and rollback. · Implement monitoring for model performance, drift, bias, and operational health. · Integrate AI capabilities with enterprise systems, APIs, and cloud-native data pipelines. · Support responsible AI practices, governance, and lifecycle management. Security, Compliance, and Federal Delivery · Partner with cybersecurity and compliance teams to implement security controls and support federal accreditation processes. · Produce technical documentation and evidence artifacts supporting authorization to operate (ATO) and continuous monitoring. · Implement secure identity and access management, logging, and auditability aligned with federal standards. · Lead technical solutioning efforts and mentor junior engineers. · Communicate complex technical solutions clearly to both technical and non-technical stakeholders. Required Qualifications · 8+ years of experience in cloud engineering, DevOps, platform engineering, or systems engineering, with senior-level responsibility. · 3+ years of hands-on experience delivering AI/ML solutions and operating MLOps pipelines in production. · Strong experience with at least one major cloud provider (AWS, Azure, or GCP). · Hands-on experience with CI/CD automation, Infrastructure-as-Code, and DevSecOps practices. · Proficiency with container technologies (Docker) and orchestration platforms (Kubernetes or OpenShift). · Strong scripting or programming experience (Python strongly preferred). · Experience implementing logging, monitoring, alerting, and audit controls in regulated environments. Preferred Qualifications · Experience supporting federal or highly regulated cloud environments (e.g., GovCloud, classified or restricted partitions). · Familiarity with federal cybersecurity frameworks and compliance activities. · Experience modernizing legacy systems into cloud-native, AI-enabled architectures. · Background building AI platforms, including model hosting, vector search, retrieval-augmented generation (RAG), and orchestration frameworks. Clearance / Work Environment Ability to obtain and maintain a federal security clearance; active clearance may be required depending on the program. Onsite or hybrid work may be required based on mission and program needs. Certifications (Preferred) · Cloud certifications (AWS, Azure, or GCP). · Security baseline certifications may be required on some programs. Example Technologies · Cloud: AWS, Azure, GCP · IaC: Terraform, CloudFormation, ARM · CI/CD: GitLab CI, GitHub Actions, Azure DevOps · Containers: Docker, Kubernetes, OpenShift · AI/ML: PyTorch, TensorFlow, managed cloud AI services · Observability/Security: Centralized logging, monitoring, audit trails, policy enforcement Education Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Compensation and Benefits Salary Range: $180,000 - $250,000/yr (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.) Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron’s benefits programs. Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status. Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.

Job Description What Impact You'll Have: Join a mission-focused team where your work directly supports critical national security objectives. We are seeking a Subject Matter Expert (SME) Full Stack Developer to lead the design, development, and delivery of scalable, mission-driven applications within an ML/Ops environment. This role combines deep technical expertise with advanced system-level thinking and close collaboration across engineering, data science, and customer stakeholder teams. The Full Stack Developer will perform rapid application design, ETL, data analysis, and interpretation while developing rules and methodologies for data collection and analysis. You will architect, develop, and maintain a Python-based data warehouse processing system that serves as the backend for a user-facing application, while also leading development of modern GUI applications using REST APIs and contemporary web frameworks. You will work closely with data scientists, computer vision engineers, ETL engineers, and intelligence analysts to integrate machine learning capabilities into production systems, enabling scalable model deployment, monitoring, and continuous improvement. This role emphasizes ownership, technical leadership, and delivery of production-ready solutions that operate reliably in dynamic, real-world environments. What You'll Be Owning: • Lead and participate in the architectural design of complex features early in the development lifecycle., • Translate customer requirements and roadmap priorities into technical solutions, tasks, timelines, and resource plans., • Develop, integrate, and maintain full stack applications supporting ML/Ops pipelines and data-driven systems., • Design and implement scalable APIs and services to support machine learning model deployment and inference., • Develop and maintain data pipelines, ETL processes, and data storage solutions for large-scale datasets., • Collaborate with data scientists and ML engineers to operationalize models within production environments., • Optimize application and system performance for scalability, reliability, and efficiency, including edge and distributed environments when applicable., • Conduct peer reviews and establish coding standards to improve overall code quality and maintainability., • Guide development testing, exploratory testing, automated testing, and validation strategies., • Own code in production environments, respond to incidents, and lead root cause analysis and continuous improvement efforts., • Ensure security, compliance, and governance are maintained throughout the development lifecycle., • Perform technical planning, system integration, verification and validation, and risk assessments across system components., • Mentor and develop junior and mid-level engineers, fostering technical growth and high-performing teams., • Drive adoption of modern ML/Ops practices, tools, and automation frameworks across the team. What You Must Have: • Active TS/SCI clearance with the ability to obtain a CI poly, • Bachelor's degree in Computer Science, Engineering, or a related technical field., • 14+ years of professional experience in full stack software development., • Expert-level proficiency in Python and object-oriented design patterns., • Extensive experience developing backend systems, APIs, and data processing pipelines., • Strong experience with modern web development frameworks, including React.js, Node.js, and/or Electron., • Deep understanding of data modeling techniques and experience working with large-scale and time series datasets., • Experience with relational and non-relational databases such as PostgreSQL, MongoDB, and BigQuery., • Experience building and maintaining RESTful APIs and microservices architectures., • Experience supporting machine learning workflows, including model integration, deployment, and monitoring., • Familiarity with ML/Ops tools and utilities such as MLflow, DVC, and/or Optuna., • Strong experience with Python libraries such as NumPy and Pandas., • Experience with Python web frameworks such as Flask, FastAPI, Pydantic, Gunicorn, and Uvicorn., • Experience with containerization and DevOps practices, including Docker and CI/CD pipelines., • Experience with web servers such as Apache and Nginx., • Experience working within Agile development environments and using associated tools. What Would be Nice to Have: • Experience supporting government or defense-related programs., • Experience integrating computer vision or machine learning capabilities into operational systems., • Knowledge of real-time data processing, streaming architectures, or distributed systems., • Experience with cloud-based ML/Ops environments and infrastructure (AWS, Azure, or Google Cloud Platform)., • Experience with parallelization and multiprocessing frameworks such as Dask., • Knowledge of geospatial data processing tools and libraries including GeoPandas, Shapely, Rasterio, QGIS, and ArcPy., • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch., • Experience with remote procedure call technologies such as gRPC and JSON-RPC. #LI-CM1 Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision, • Health Savings Account with company contribution, • Annual Paid Time Off and Paid Holidays, • Paid Parental Leave, • 401k with generous company match, • Training and Development Opportunities, • Award Programs, • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job DescriptionDescriptionAbout The Role:Innovative Defense Technologies (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking an Associate AI Engineer to be part of our Warfare Systems team and based out of our Arlington, VA or Mt. Laurel, NJ location. The Associate AI Engineer will design and deliver engineering-focused AI solutions that move beyond demos into reliable, mission-relevant systems. This role is ideal for an early-career engineer who is strong in Python, excited by LLMs and autonomous agents, and motivated to build end-to-end capabilities including MCP integrations, RAG pipelines, tool-using agents, and production-grade AI workflows. Clearance & Location Requirements: • All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance., • Design and Build AI Solutions: Design and implement end-to-end agentic AI systems that support planning, reasoning, tool use, and multi-step execution in real-world environments. Build modular, testable components that move from prototype to operational capability., • Integrate Models and Tools: Develop integrations across LLMs, APIs, data sources, and Model Context Protocol (MCP) interfaces to enable intelligent agents to interact with external systems, retrieve context, and take action safely and reliably., • Develop Retrieval Pipelines: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that connect models to live knowledge sources, structured data, and enterprise content to improve factual grounding, contextual relevance, and response quality., • Engineer Conversational and Agentic Interfaces: Create conversational systems and intelligent agents with memory, contextual awareness, adaptive decision-making, and support for multi-turn user and system interactions., • Implement and Evaluate AI Workflows: Translate technical objectives into working pipelines, run experiments, evaluate agent behavior, and iterate on prompts, orchestration logic, retrieval quality, and system performance to improve reliability and usability., • Scope and Define Requirements: Gather, document, and validate technical and functional requirements from project artifacts, stakeholders, and mission needs to ensure feasibility, completeness, and alignment with operational goals., • Collaborate Across Teams: Work closely with engineers, technical leads, and mission stakeholders to integrate AI capabilities into broader software and system architectures. Participate in technical reviews, design discussions, and delivery planning., • Support Technical Quality: Contribute to testing, debugging, and performance optimization of AI-enabled applications, including edge cases involving context management, retrieval failures, tool execution, and orchestration logic., • Learn and Apply Emerging Practices: Stay current on advances in LLMs, agent frameworks, orchestration methods, and applied AI engineering practices, and bring that knowledge into practical system design and implementation., • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Applied Mathematics, Artificial Intelligence, or a related technical field, or equivalent full-time professional experience, • 0–3 years of full-time professional experience in software engineering, machine learning engineering, AI engineering, or related technical roles, • Ability to travel up to 10% of the time as needed, • Proficiency in Python, including experience with core libraries such as NumPy and Pandas, • Experience building software with one or more modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, Semantic Kernel, or AutoGen, • Familiarity with Large Language Models (LLMs), prompt engineering, agent orchestration, or conversational AI systems, • Familiarity with retrieval systems, vector databases, embeddings, or RAG-based application design, • Understanding of software engineering fundamentals, including version control, testing, debugging, and writing maintainable code, • Ability to work independently on technical tasks while collaborating effectively in a team environment, • Strong problem-solving skills, curiosity, and a builder mindset focused on turning ideas into working systemsWhat Makes You Stand Out:, • Experience building agentic AI systems that use tools, memory, planning, or multi-step execution, • Familiarity with Model Context Protocol (MCP) integrations or similar model-to-tool integration patterns, • Experience deploying AI services, APIs, or workflows in cloud or production environments, • Experience with vector databases, retrieval infrastructure, knowledge graph integration, or enterprise search, • Exposure to evaluation methods for LLMs and agents, including reasoning quality, hallucination reduction, tool-use reliability, and retrieval performance, • Experience with Docker, REST APIs, Git-based development workflows, or CI/CD pipelines, • Experience working on defense, government, or other mission-oriented technical programs, • Strong interest in building practical AI systems that must operate reliably in complex, real-world environmentsIf you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network. Pay Range*: $74,000 - $116,000 or $90,000 - $150,000 This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate’s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. *Pursuant to New Jersey Senate Bill 2310 IDT is required to disclose the “pay scale” or “pay range” associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate’s experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. Why Work at Innovative Defense Technologies (IDT):IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including: • Generous benefits package, • Competitive PTO, • Paid holidays, • 401(k) with immediate vesting and matching, • 9/80 optional schedule (2nd and 4th Friday off every month), • Tuition Assistance Reimbursement Program, • Professional Development Resources, • Pre-Tax Commuter Benefits, • Organization-Wide Monthly Tech Connect Events, • Annual Employee Recognition Awards, • Regular Social Events and Catered Lunches EEO Statement:IDT is an Equal Opportunity employer.

Job Description At we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity, and the pursuit of excellence in everything we do. We are working towards something big, together. We foster a culture built on five core values: · Generosity First, : We lead with kindness. Our best work happens when we act in of others. · Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious. · Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, and adapt. · Passion for Positivity: We greet each day with warmth and possibility. · Collective Ambition: We have high aspirations that are achieved when we work together with a shared purpose. CAVA is looking for a lead data scientist that will help us discover the information hidden in vast amounts of data, help us make smarter decisions, improve productivity and deliver even better guest experiences. To help CAVA establish scalable AI/ML practices and utilization, your focus will be in applying data mining techniques, performing statistical modeling and analysis, machine learning, and building high quality prediction systems integrated with our platforms and applications. The ideal candidate will have a strong background in analytics, with expertise in leveraging Databricks and open source tools to drive actionable insights, optimize operations, and enhance customer experiences. What You’ll Do: • Develop and implement machine learning models and algorithms to support business objectives, including predictive analytics, demand forecasting, and other business tools leveraging data and AI., • Perform data mining and statistical analysis to extract meaningful insights from large, complex datasets, including potential third-party data sets., • Enhance data collection and processing workflows to ensure data accuracy, relevance, and integrity., • Collaborate with cross-functional teams across marketing, operations, and IT to create, validate, and integrate AI/ML solutions into existing platforms and applications., • Create, maintain, monitor models for business uses including, but not limited to labor models, price optimization, menu evaluation, customer segmentation, next-best-action marketing, real estate assessment, etc., • Create automated systems for anomaly detection, performance tracking, and reporting., • Leverage advanced analytics and large language models (LLMs) to provide actionable insights and summarize key business trends., • Design and execute A/B tests and other experiments to validate hypotheses and optimize strategies., • Document model development processes, performance metrics, and findings to ensure transparency and reproducibility., • Processing, cleansing, and verifying the integrity of data used for analysis · Leverage anomaly detection algorithms (e.g., isolation forest) to identify anomalies within the data and generate alerts for the commercial reporting team. · Oversee the extraction, preparation, and utilization of large datasets required for model training, validation, and implementation, ensuring data quality and relevance. · Maintain comprehensive documentation of AI models and GenAI solutions, their logic, and performance metrics. The Qualifications: · Ability to demonstrate technical expertise with regards to building advance models in support of business functions · Bachelor’s Degree in in Data Science, Computer Science, Statistics, Engineering, or related field (or equivalent experience) • Minimum of 5 years of experience building, designing, and maintaining data science and/or AI projects, • Demonstrated expertise in applying advanced statistical and machine learning techniques to real-world problems, such as predictive modeling, natural language processing, computer vision, or recommender systems at scale (preferably in the restaurant vertical), • Demonstrated experiences in relevant fields or industries in Information Retrieval, Machine Learning, NLP, and Query understanding, • Experience implementing Machine Learning models and algorithms into production at scale with machine learning algorithms such as classifiers, anomaly detection, and clustering, • Demonstrated expertise in managing the entire AI/ML lifecycle, from ideation, data acquisition and model training, to production deployment and monitoring, including developing scalable AI/ML CI/CD solutions. Ability to manage AI/ML projects including success metrics and use of project management tools (e.g. JIRA), • Proficient in using various programming languages and tools for data analysis and machine learning, such as Databricks MLflow (Python, SQL, TensorFlow, PyTorch, or Spark), • Great communication skills, excelling in breaking down intricate AI/ML concepts for a diverse audience. Communicate technical concepts and results effectively to diverse stakeholders, including senior leadership., • Excellent interpersonal and communication skills that can partner with cross-functional teams Physical Requirements: · Ability to maintain stationary position to be able to operate a computer and other office equipment · Must be able to identify, analyze and assess details · For certain positions, must be able to occasionally move or transport items up to 50 pounds · Ability to communicate with others and exchange information accurately and effectively · Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable · Ability to work in a constant state of alertness and in a safe manner What we offer: · Competitive salary, plus bonus and long-term incentives* · Early Wage Access! · Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community · Health, Dental, Vision, Telemedicine, Pet Insurance plus more! · 401k enrollment with CAVA contribution · Company-paid STD, LTD, Life and AD&D coverage for salaried positions* · Free CAVA food · Casual work environment · The opportunity to be on the ground floor of a rapidly growing brand · All exempt and non-exempt employees are eligible for benefits. Benefits are effective on the 1st of the month following 30 days of service, and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired · The compensation range posted includes total cash *Indicates qualifying eligible positions only CAVA – Joining “A culture, not a concept” This job description is not intended to be a comprehensive list of all the duties and responsibilities of the position, and such duties and responsibilities may change without notice. As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law.

Job DescriptionCareer Renew is recruiting for one of its clients an Applied ML Engineer - this is a hybrid role in Arlington, VA or remote in Boston, SF Bay Area, San Diego or Los Angeles. This role will require a security clearance. Salary range:190-250K USD yearly plus benefits plus equity. We are seeking a versatile and pragmatic Applied ML Engineer to contribute across a broad range of machine learning and perception tasks that power our edge-intelligent maritime systems. This role requires someone comfortable wearing many hats—from working with computer vision and sensor fusion models to building lightweight inference pipelines, designing experiments, and fine-tuning model behavior in production. You’ll work closely with a cross-functional team spanning hardware, software, and product to deliver real-world AI solutions that are robust, efficient, and reliable under challenging field conditions. This is an ideal position for someone who thrives on variety, rapidly shifting problem domains, and turning rough ideas into deployed systems. Key Responsibilities: * Design, train, and evaluate models for tasks ranging from object detection and classification to anomaly detection and sensor-based inference. * Optimize model architectures and inference pipelines for performance on embedded/edge hardware under compute and bandwidth constraints. * Contribute to dataset development and labeling strategy, including data augmentation, synthetic data generation, and domain adaptation. * Support prototyping and experimentation across a variety of AI subfields, including computer vision, signal processing, and multi-modal fusion. * Implement real-time pipelines for processing sensor data on-device and in cloud environments. * Develop tools and scripts for benchmarking, data visualization, and debugging ML model performance. * Stay current with the latest research and tools in machine learning and evaluate their applicability to our product roadmap. * Participate in code reviews, team knowledge sharing, and internal technical documentation. * Must be eligible to obtain/maintain a security clearance. Qualifications (Preferred): * Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field. Bachelors candidates considered on a case by case basis. * 4+ years of experience building and deploying machine learning models in production environments. * Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow. * Comfortable working with a range of data types (images, time-series, geospatial, RF, etc.). * Experience with edge or embedded ML deployments, including model compression and hardware-aware optimization. * Familiarity with common ML practices including cross-validation, hyperparameter tuning, and model monitoring. * Excellent debugging, experimentation, and problem-solving skills. * Strong collaboration and communication skills with both technical and non-technical team members. * Bonus: experience in maritime, aerospace, or other remote sensing domains.

Job DescriptionMachine Learning EngineerWashington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place. Key Responsibilities: • Design, implement, and maintain ML deployment pipelines for scalable production systems., • Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability., • Build robust model monitoring, logging, and alerting systems to track performance and detect drift., • Partner with data scientists to transition models from research/prototype into production-ready deployments., • Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment., • Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems., • Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems., • Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.Qualifications:, • 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role., • Proven experience deploying and maintaining machine learning models in production at scale., • Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar)., • Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow., • Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems., • Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling., • Strong understanding of MLOps best practices, monitoring, and automation., • Excellent problem-solving skills, with an emphasis on building reliable, scalable systems., • Strong communication and collaboration skills across technical and non-technical teams.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. We are seeking a skilled and motivated manager to lead technical teams and support direct projects integrating perception solutions for defense platforms. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do: • Multidisciplinary Team Leadership – Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution. Balance hands-on technical oversight with performance optimization, innovation, and clear stakeholder communication., • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities., • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness., • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation., • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization., • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments., • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules., • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness., • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads., • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • 5+ years of experience in Unmanned Systems programs in the DoD or applied R&D, • 2+ years of people leadership experience, • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models., • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches., • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications., • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs., • Proficiency with version control, debugging, and test-driven development in cross-functional teams., • Ability to obtain a SECRET clearance.Preferred Qualifications:, • Hands-on integration or algorithm development with airborne sensing systems., • Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks., • Experience deploying perception software on SWaP-constrained platforms., • Familiarity with validating perception systems during flight test events or operational environments., • Understanding of sensing challenges in denied or degraded conditions. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity. Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services. Description Capital Technology Group (CTG) is on a mission to modernize and innovate the way the federal government delivers software. We are passionate about our work, dedicated to our clients, and committed to a culture of continuous learning and growth. For this role specifically, we are seeking individuals to help support high-impact, civic tech within the federal government. As an integral part of the program, the Senior AI/ML Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, and lead teams to support the adoption of new technologies across the enterprise. The Lead AI/ML Engineer will also provide technical leadership by supervising and mentoring junior IT specialists. Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance Responsibilities • Leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, • Analyzes and communicates the benefits and risks in implementing solutions using the new technologies, • Shall have the ability to perform as a developer, operations, and security engineer in cloud environments, • Lead teams to support the adoption of new technologies across the enterprise, • Provides technical leadership by supervising and mentoring junior IT specialistsRequirements, • Bachelors Degree, • 7-10 years of relevant experience, • At least 3 years of experience deploying production enterprise applications in AWS, • At least 2 years of experience deploying production enterprise applications with an AI/ML component, • Strong proficiency in Python, • Experience with machine learning frameworks such as TensorFlow or PyTorch, • Experience with machine learning services such as Bedrock, SageMaker, Hugging Face, Weights & Biases, or others, • Solid data manipulation and analysis skills using pandas, • Experience presenting and defending test or experiment results (matplotlib), • Experience working with cloud platforms, with AWS preferred, • Must be able to get up-to-speed quickly on new projects and technologies, • Strong communication and problem-solving skills We are committed to offering a competitive salary for this position, with an estimated range of $150k to $200k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change. Full Time Employee Benefits • Remote Work (Hybrid roles will be specified in the job post), • Competitive Compensation Package, • Medical, Dental, and Vision, • Life Insurance, Short/Long Term Disability, • Employee Assistance Program, • 401(k) with 4% matching, • Liberal PTO vacation policy, • Generous Annual Continuing Education, • Annual Wellness Budget Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job DescriptionTeam Description: Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our solutions embracing AI add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We have developed a deep understanding in extracting useful, actionable information from multiple data sources like images, video, metadata, audio, and text, and we recognize the need for robust, affordable solutions. We seek to advance AI, CV, and other related fields through research and development and collaborative projects that can contribute to our open source software platforms, such as XAITK, NRTK, and GeoWATCH. About the Projects: Kitware’s employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware’s work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions.In This Position You Will: • Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision, • Perform rapid prototyping and enhanced development to be integrated into operational systems, • Contribute your strong programming ability and experience to develop robust solutions for real-world problems, • Validate, optimize, and deploy advanced exploitation algorithms, • Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustnessRequired Qualifications:, • Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field, • Proficiency in Python, • Experience with deep learning libraries (PyTorch, TensorFlow, etc.), • Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment, • Machine learning experience using visual data, • Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural Language Processing, • A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems, • Due to contractual requirements, only US Citizens will be considered for this position, • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance, • Some travel is required, typically 5-25%, • Willingness to work 2-5 days a week on-site in a National Capital Region area government office, with the remainder of time in Kitware's officePreferred Qualifications:, • Active SECRET, TS, or TS/SCI security clearance, • Experience curating quality, real-world datasets for training deep learning models

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do: • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities., • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness., • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation., • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization., • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments., • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules., • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness., • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads., • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience., • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models., • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches., • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications., • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs., • Proficiency with version control, debugging, and test-driven development in cross-functional teams., • Ability to obtain a SECRET clearance.Preferred Qualifications:, • Hands-on integration or algorithm development with airborne sensing systems., • Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks., • Experience deploying perception software on SWaP-constrained platforms., • Familiarity with validating perception systems during flight test events or operational environments., • Understanding of sensing challenges in denied or degraded conditions. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission-critical challenges with AI. Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness. But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves. If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most — you’ll find your mission here. Data Scientist TS/SCI (DC/NoVA) Virtualitics introduced Intelligent Exploration to the analytics community through the Virtualitics AI Platform. We are seeking a Data Scientist with TS/SCI security clearance with a strong sense of ownership to join our Platform team. This position has career growth opportunities for those seeking to become Lead Data Scientist and/or Team Manager. As a Data Scientist, you will: • Use the capabilities of the Virtualitics AI Platform to deploy production solutions for our customers., • Work with customer data and own the development of an AI solution from ideation to production, • Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers.Requirements:, • Must have an active TS/SCI security clearance and be willing to work from a SCIF as needed., • Must be located in or near Washington DC/Northern Virginia to be able to access relevant SCIFs., • Regular travel anticipated to client sites/military bases., • Degree in Computer Science., • 3+ years of experience writing production ready code in Python., • 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib, etc., • 1 year of experience deploying a machine learning model in a production environment., • 1-2 years of experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.)., • 3 years of experience with Git (or an alternative version control tool)., • 1 year of Experience with Docker and/or Kubernetes., • A strong sense of ownership and accountability., • Excellent written and verbal communication skills in English Pluses:, • Demonstrated experience in leading the development efforts for a project from a SCIF., • Experience with PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc., • 1 year of experience integrating applications with at least one of Spark, Dask, Snowpark or Kafka., • Competitive salary/equity/bonus based on experience and education., • Full benefits including medical, dental, vision.

Job DescriptionSalary: DOE Software Engineer / Machine Learning Senior iN2STEM Solutions, Inc.is hiring staff to support our clients system software development and sustainment efforts. The selected candidates will be responsible for the implementation and operation of a life cycle development and sustainment environment for a cloud-based portal capability. The team will work in an unclassified environment and transition the final version to the operational environment. About the Program: iN2STEM Solutions, Inc. is recruiting staff to support a contract to develop and sustain the Department of the Armys Army Counterintelligence Operations Portal (ACOP). We will also be coordinating and integrating other capabilities with other Government agencies and companies. Qualifications: DoD 85701.01-M IAT Level III certification, IAT III 8570 Baseline Certification CISSP, CASP or equivalent, Computing Environment certification, and compliance upon hire. Required Education & Experience: Bachelors degree in Engineering, Physics, Mathematics. Ten (10) years experience with developing artificial intelligence and machine learning algorithms. Experience in developing in Python, Java, PyTorch, Torch, TensorFlow, Caffe, C, and/or C++. Ability to communicate at technical and programmatic levels. Experience in sensor algorithms such as detection, tracking, and classification. Experience designing, developing, testing, and deploying industrial strength software. Five (5) years experience integrating machine learning and artificial intelligence workflows into software design. Experience with Natural Language Processing software libraries and implementation. Experience with regression and classification machine learning implementations. Experience with time series and event modeling in software. Develop software prototypes that incorporate machine intelligence where available and IAW requirements. Work with data scientists to harden and deploy machine learning software capabilities. Perform systems engineering analysis of decision problems, assimilate analysis, derive concept designs, structure plans for execution. Develop and test software based on systems engineering and concept design performed by System Architects and System Engineering. Interface with the customer for requirements, and write coherent plans in the form of briefings, white papers, and/or provide technical direction. Familiarity with military intelligence is a plus. Duties and Responsibilities: • Develop deep-learning software prototypes that demonstrate potential usefulness to our customers, • Work with data scientists to build new machine learning-powered solutions., • Model, query, and analyze large, business-critical dataset, • Implement machine learning framework(s), • Design and develop advanced AI and Machine Learning algorithms, • Research latest advances in AI and Machine Learning, • Perform systems engineering analysis of decision problems, assimilate analysis, derive concept designs, structure plans for execution, develop software code, and perform test, • Design machine learning Natural Language Processing (NLP), speech recognition., • Interface with the customer for requirements, and write coherent plans in the form of briefings, white papers, and/or provide technical direction Security Clearance Requirement: • Must be a US Citizen with a current DOD TOP SECRET/SCI clearance prior to start date. Why iN2STEM Solutions, Inc.: As a minority and Veteran-owned small business, iN2STEM Solutions, Inc.is a technology & innovation solutions company, that can reduce risk and uncertainty, and optimize performance and results. We enable our clients to achieve their business and mission goals by helping them to become more efficient, and to realize these improvements in significantly less time. Our proven quantitative methods validate our solutions for your operations, prior to building any system. We also provide surge support offering solutions engineers and architects, project managers, and additional support to help our clients when they need it the most, whether on contract, or for proposals and capture efforts. Our unique methodology, theiN2End SolutionTM, is a nimble approach to systems and software solutions, with a unique combination of proven processes, innovative tools, experienced people, and real-time team collaboration to optimize solutions. We can adapt to any development or acquisition environment and provide: • Greater visibility into projects and portfolios, • Improved decision making, earlier in the process, • Simplified and speedy applications development, • Ease of maintenance, reuse, and updates and, • Improved software quality AtiN2STEM Solutions, Inc., we view problems and solutions differently. We are engineers, scientists, economists, project/program managers, operations specialists and leaders who communicate, collaborate, innovate, integrate, and analyze problems, quantitatively and qualitatively, with a wholistic systems approach. We respect everyones contribution and consider a variety of alternatives to come to an optimum solution. iN2STEM Solutions, Inc.is an Equal Opportunity Employer, Empowering the Next Generation of our people no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or Veteran status. We strive to create a diverse, inclusive, and respectful work culture that values all.

Job Description Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission-critical challenges with AI. Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness. But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves. If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most — you’ll find your mission here. Machine Learning Engineer - US TS/SCI Clearance (DC Metropolitan Area) Virtualitics is trailblazing Intelligent Exploration and Enterprise AI with our cutting-edge AI Platform. We are hiring an ML Engineer with the capability and readiness to obtain a U.S.-government security clearance. This role is pivotal in bridging the worlds of machine learning, data engineering, and software development to enhance our AI data applications. Career advancement opportunities are available for those interested in senior engineering positions and technical leadership. As an ML Applications Engineer, you will: * Spearhead platform upgrades, ensuring our products are at the forefront of innovation and effectiveness. * Craft and manage dynamic dashboards using the Virtualitics AI Platform Python SDK, transforming data into intuitive visuals for decision-making. * Optimize data access patterns, enhancing the efficiency and performance of our AI solutions. * Tackle runtime performance issues, ensuring high responsiveness and stability of applications. * Architect robust, scalable, and user-friendly applications, considering current trends and future growth. * Collaborate closely with Technical Product Managers to drive usability enhancements, ensuring our products meet and exceed user expectations. Requirements: * A degree in Computer Science or related field, or 4+ years of software engineering experience. * Must have a TS/SCI security clearance. * Must be willing to travel and work from a SCIF as needed. * Proven track record of deploying software into production environments. * Proficiency in Python with a solid understanding of Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.). * Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc). * Familiarity with Docker, Kubernetes, and Git. * Exceptional problem-solving skills and a keen sense of ownership. * Excellent communication skills in English, both written and verbal. Pluses: * Experience in Machine Learning Engineering roles and the end-to-end lifecycle of AI applications, from model development to deployment. * Experience with Predictive Maintenance, Supply Chain, Scheduling Optimization, etc. * Experience with PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc. * 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) or app building kits like Streamlit/Plotly Dash. Compensation and Benefits: * Competitive salary/equity/bonus based on experience and education. * Comprehensive benefits package including medical, dental, and vision. * Unlimited paid time off. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description What Impact You'll Have: We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing large structured and unstructured datasets who will use their technical expertise, mission knowledge, and customer-centric focus to create and deliver advanced analytic solutions, automation, machine learning models, and compelling data-driven visual products. This is a mission-driven opportunity to support our government customer, with downstream impact to mission partners across the Intelligence Community (IC) and the Department of War (DOW). The Senior Data Scientist will work closely with customer stakeholders, team leads, analysts, and visualization experts to understand complex challenges and develop innovative solutions that blend operational mission support with business analytics. This role will uncover key insights, identify trends, and transform complex data into actionable discoveries that inform mission execution and strategic decision-making. As a technical leader and Subject Matter Expert (SME), this individual will help architect and deliver advanced analytics, AI/ML capabilities, automated workflows, and custom visualizations. The role will also support modernization and division-wide rebranding efforts by creating impactful products and capabilities that enhance both mission effectiveness and business performance. What You'll Be Owning: • Leverage customer-specific Esri ArcGIS Enterprise portals (similar to Safehouse and ICGIS) to analyze and derive insights from the customer's databases, identify opportunities for increased efficiency, and develop visualizations and automation solutions that enhance both mission operations and business analytics., • Design and build highly customized visualizations, dashboards, and interactive applications using Python libraries such as Pandas, NumPy, Matplotlib, Plotly, Dash, and Bokeh., • Create bespoke visualization products that provide critical operational insights and support both business analytics and mission decision-making., • Develop automation solutions that streamline workflows, reduce manual effort, and improve the delivery of analytic and business intelligence products., • Develop advanced analytics, artificial intelligence and machine learning (AI/ML) models, and predictive solutions to identify patterns, relationships, and trends within diverse datasets., • Capture and communicate key insights through business analytics, identifying trends, performance indicators, and actionable discoveries that support strategic decision-making., • Work hand in hand with team leads, analysts, and visualization experts to support division-wide rebranding efforts and enhance the presentation and delivery of mission products., • Work with large structured and unstructured datasets in analytical and modeling environments to solve complex operational and intelligence challenges., • Lead and participate in the design of innovative solutions and refinement of existing analytic processes and workflows., • Translate customer requirements and mission challenges into actionable technical solutions, timelines, and resource plans., • Develop and maintain automated data processing pipelines and repeatable analytic workflows., • Conduct peer reviews to improve the quality of methodologies, procedures, and technical solutions., • Mentor team members and help build high-performing technical teams., • Active TS/SCI clearance with the ability to obtain and maintain a CI Polygraph., • Strong working knowledge and hands-on experience with Esri solutions such as Esri ArcGIS Pro, ArcGIS Online, and secure enterprise Esri portals such as Safehouse and ICGIS., • Expert-level proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries., • Demonstrated experience creating highly customized visualizations and analytic applications to meet unique operational and business requirements., • Demonstrated experience automating analytic and business processes using Python and related technologies., • Experience applying artificial intelligence and machine learning (AI/ML) techniques to structured and unstructured datasets., • 10+ years of relevant experience in data science, advanced analytics, machine learning, data visualization, and business analytics. A combination of experience, professional certifications, and technical training may be considered in lieu of some years of experience., • Experience supporting Intelligence Community operations., • Demonstrated experience in data mining and developing, maintaining, and manipulating databases., • Experience identifying and implementing system enhancements, new capabilities, concept demonstrators, and modernization initiatives., • Knowledge of advanced analytic methodologies and experience implementing them to support mission and business objectives., • Master's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Business Analytics, Geographic Information Systems, or a related technical discipline., • Experience supporting National Geospatial-Intelligence Agency (NGA) or other GEOINT-focused organizations., • Advanced data visualization experience involving network analytics, graph analytics, matrix analytics, and common operational picture development., • Experience writing and optimizing SQL to query, transform, and analyze large datasets., • Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras., • Familiarity with cloud computing, containerization, and DevSecOps practices. Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision, • Health Savings Account with company contribution, • Annual Paid Time Off and Paid Holidays, • Paid Parental Leave, • 401k with generous company match, • Training and Development Opportunities, • Award Programs, • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job Description Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track—while helping agencies increase efficiency, recover revenue, and deliver services with dignity. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup. About the Role At Promise, we’re harnessing AI to make government services more accessible, efficient, and human-centered. As a Data Scientist (AI), you’ll experiment with and apply cutting-edge AI—from traditional ML models to the latest LLMs—to power applications that help families access essential services with dignity. You’ll work across domains like OCR, document understanding, and classification, while also building generalist models that improve efficiency and reduce manual operations. This role blends research and application: sourcing from leading vendors and open-source projects, fine-tuning where needed, and deploying models into production systems that directly impact millions of lives. What You’ll Do * Experiment & build: Train, fine-tune, and evaluate ML models and LLMs for real-world government use cases. * Apply AI in the field: Tackle challenges like OCR, document parsing, and classification to streamline services. * Bridge research and impact: Source, adapt, and operationalize models from both open-source and vendor ecosystems. * Improve efficiency: Enhance automation, reduce manual processes, and boost system performance across the platform. * Shape the future: Push forward scalable, ethical AI solutions that redefine how people access public support. What Will Help You Succeed * Experience: 5+ years in machine learning and statistical analysis; 1+ year working directly with deep learning or LLMs. * Technical expertise: Hands-on experience with model training, fine-tuning, and validation for classification/regression tasks (ROC AUC, Precision, Recall, F1). * Tools of the trade: Proficiency with frameworks like PyTorch, MLFlow, LightGBM, or similar. * Mindset: Detail-oriented, rigorous, and adaptable—comfortable navigating a high-impact, evolving environment. * Mission alignment: Passion for Promise’s work and a commitment to building ethical, transparent AI solutions. * Bonus: Experience in applied AI for fintech, govtech, or other regulated industries. Who Thrives at PromiseYou’ll love it here if: * You are energized by big, complex challenges and the opportunity to solve them. * You want your work to have a real, measurable impact on people’s lives. * You take ownership and run toward problems, not away from them. * You value clear, candid, and constructive communication. Promise is not for you if: * You prefer hierarchy and rigid structures. We operate with freedom and responsibility. * You are uncomfortable with change. We move fast, adapt often, and expect agility. * You want a typical corporate culture. We are mission-driven, ambitious, and direct. * You believe efficiency means “doing less.” We believe efficiency means doing better. How We Support Our People * 100% paid health coverage * Generous PTO and sick leave * Lunch, snacks, and coffee provided * Company retreats * Opportunities to travel and see the impact of your work * Hybrid Work: We deeply value in-person collaboration and are in-office or on-site at least four days a week. Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws. To request a reasonable accommodation, please email . Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US. Compensation Range: $150K - $215K

Job DescriptionCompany Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Job Description Turnitin is a recognized innovator in the global education space. For more than 20 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 16,000 academic institutions, publishers, and corporations use our products and services. At Turnitin, working remotely is our default. We respect local cultures, embrace diversity, and we respect personal choice. Turnitin is headquartered in Oakland, with offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), Amsterdam (Netherlands). Our diverse community of colleagues is unified by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements: We expect Senior Machine Learning Scientists to be versatile and have a well-balanced set of skills. You will focus on model training and maintenance with significant capacity for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines). Day-to-day, your responsibilities are to: • Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered., • Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices., • Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary., • Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters., • Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs., • Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings., • Optimize models for scaled production usage., • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners., • Write clean, efficient, and modular code, with automated tests and appropriate documentation., • Stay up to date with technology, make good technological choices, and be able to explain them to the organization.Qualifications Required Qualifications: • Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus., • A strong understanding of the math and theory behind machine learning and deep learning., • Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)., • Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)., • An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families., • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite., • Excellent communication and teamwork skills., • Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries., • Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda)., • Familiarity in building front-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes., • Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai)., • Showcase previous work (e.g. via a website, presentation, open source code). Additional Information The expected annual base salary range for this position is: $112,125/year to $186,875/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do., • Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so., • Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership - We have a bias toward action and empower teammates to make decisions., • One Team - We strive to break down silos, collaborate effectively, and celebrate each other’s successes., • Remote First Culture, • Health Care Coverage*, • Education Reimbursement*, • Competitive Paid Time Off, • 4 Self-Care Days per year, • National Holidays*, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time*, • Charitable contribution match*, • Monthly Wellness or Home Office Reimbursement*, • Access to Modern Health (mental health platform), • Parental Leave*, • Retirement Plan with match/contribution*, • varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us, join our team! Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Senior AI/ML Engineer Project Identifier NEA Project Name AI/ML Engineering Client National Endowment for the Arts Agency NEA Location Hybrid (at least 1 day per week on-site at NEA Washington DC) Interview Type Online Contract Duration 2 years with Possible extension Tentative Start Date Immediate Deadline Immediate Project Overview The National Endowment for the Arts (NEA) is investing in artificial intelligence and machine learning capabilities to modernize internal operations, improve grant analysis workflows, and enhance public-facing services. The organization requires production-grade AI/ML systems that meet federal data governance, privacy, and accessibility standards while delivering measurable impact across NEA's mission areas. The Senior AI/ML Engineer will design, build, and deploy machine learning models and AI systems supporting NEA's business needs across structured and unstructured data domains. This role spans the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring. The engineer will work within an Agile SCRUM environment, collaborating with data scientists, software engineers, domain experts, and federal stakeholders to integrate models into production environments hosted on Amazon Web Services and Microsoft Azure cloud infrastructure. Duties/Responsibilities • Design, develop, and deploy machine learning models and AI systems tailored to NEA's business needs across both structured and unstructured data sources;, • Conduct data preprocessing, feature engineering, model selection, training, evaluation, and validation across the full ML lifecycle;, • Build and operate production-grade machine learning pipelines using Python, TensorFlow, PyTorch, scikit-learn, and Orange;, • Develop and integrate Large Language Model (LLM) capabilities, including Retrieval-Augmented Generation (RAG), embedding models, and prompt engineering for domain-specific tasks;, • Design and implement model deployment workflows on Amazon Web Services (AWS) and Microsoft Azure, including managed services such as SageMaker, Bedrock, Azure Machine Learning, and Azure OpenAI;, • Implement MLOps practices including model versioning, experiment tracking, automated retraining, drift detection, and rollback capabilities;, • Develop CI/CD pipelines for machine learning workloads using GitHub Actions, Azure DevOps, Jenkins, or equivalent tools;, • Containerize machine learning services using Docker and orchestrate deployments on Kubernetes (AKS, EKS) for scalability and resilience;, • Build Python-based REST APIs and asynchronous backend services for model inference, batch processing, and real-time prediction using frameworks such as FastAPI and Flask;, • Integrate machine learning components with relational and non-relational database systems including PostgreSQL, MySQL, and MongoDB;, • Monitor model performance in production, implement observability through tools such as Azure Monitor, Prometheus, and Grafana, and retrain or update models as data and business needs evolve;, • Implement responsible AI practices including model explainability (SHAP, LIME), bias detection, fairness audits, and adherence to data governance and privacy standards;, • Conduct architectural peer reviews for code created by other engineers and contribute to engineering standards across the AI/ML platform;, • Set up build, test, staging, and production environments and deploy code through structured release processes;, • Contribute to estimations for all tickets in the backlog and participate in Backlog Grooming, Sprint Planning, and Sprint Review meetings;, • Adhere to Agile SCRUM methodologies and organizational delivery processes;, • Work closely and collaboratively with federal and contractor personnel to develop solutions that align with NEA mission objectives;, • Share knowledge and expertise with colleagues, mentoring and guiding less experienced engineers through code reviews, design reviews, and best-practice guidance;, • Stay current with advancements in AI/ML technologies, including foundation models, agentic AI, fine-tuning techniques, and emerging frameworks, and recommend appropriate solutions for NEA initiatives. Requirements Required Education and Experience • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field., • 5+ years of hands-on experience in AI/ML development and deployment in production environments., • Senior level proficiency in Python, including the ability to develop production-grade backend services, APIs, middleware, and machine learning data pipelines., • Senior level experience with TensorFlow, PyTorch, scikit-learn, and Orange for machine learning model development., • Experience working with both Amazon Web Services (AWS) and Microsoft Azure for hosting, deployment, and scalability of AI/ML workloads., • Strong understanding of machine learning algorithms, including supervised, unsupervised, and deep learning approaches, along with data structures and software engineering principles., • Experience with MLOps practices including CI/CD pipelines, model versioning, experiment tracking, automated retraining, and drift detection., • Experience with containerization (Docker) and orchestration (Kubernetes) for AI/ML workloads., • Experience integrating machine learning systems with SQL and NoSQL databases., • Experience with Agile/Scrum methodologies and project management tools (e.g., Azure DevOps, Jira)., • Demonstrated ability to deliver quality production-grade machine learning systems on time and as estimated within an Agile SCRUM environment., • Active participation in mentoring and guiding less experienced engineers through code reviews and best practices., • Excellent communication, collaboration, and organizational skills with experience working alongside cross-functional teams and federal stakeholders. Preferred Qualifications • Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI workflows, and fine-tuning of small language models or embedding models., • Familiarity with vector databases and retrieval frameworks (FAISS, Pinecone, Chroma, pgvector) and graph databases (Neo4j, Amazon Neptune) for AI/ML retrieval workloads., • Experience with Agile/Scrum development environments in a federal or regulated setting., • Experience working with cross-functional teams across global time zones and cultures., • Working knowledge of accessibility standards (Section 508/WCAG) and federal web requirements where AI/ML systems interact with public-facing applications., • Familiarity with Azure Monitor, App Insights, Log Analytics, Prometheus, and Grafana for AI/ML observability and performance monitoring., • Working knowledge of infrastructure automation and configuration management tools (Terraform, Ansible)., • Understanding of data governance, privacy frameworks, and ethical AI practices applicable to federal data environments. Programming — Knowledge/competencies in the following technologies: ◦ Python (advanced), including async programming and performance optimization ◦ Machine learning frameworks: TensorFlow, PyTorch, scikit-learn, Keras, Orange, Hugging Face Transformers ◦ Generative AI: LLM APIs (OpenAI, Anthropic, Azure OpenAI), prompt engineering, RAG, fine-tuning ◦ Cloud platforms: AWS (SageMaker, Bedrock, Lambda, S3, EC2, EKS) and Microsoft Azure (Azure ML, Azure OpenAI, AKS, Azure Databricks) ◦ Backend and APIs: FastAPI, Flask, REST API design, async processing ◦ Data pipelines and orchestration: Apache Airflow, Kubeflow, MLflow ◦ Databases: PostgreSQL, MySQL, MongoDB, vector databases ◦ Containerization and orchestration: Docker, Kubernetes ◦ MLOps and CI/CD: GitHub Actions, Azure DevOps, Jenkins, model versioning, experiment tracking ◦ Version control with Git ◦ Software testing protocols, code review practices, and clean coding principles BenefitsStandard Employee Benefits. 50% Health Insurance Paid by Innosoft, Paid Vacation, 401K Match, STD LTD and AD&D paid by Innosoft.

Job DescriptionWho we are: Makpar is a comprehensive professional and technical solutions provider for the Federal government. We combine functional and technical expertise in cloud engineering, data management, cybersecurity and emerging technologies to deliver mission success. We build the right IT solution for government clients by partnering with them to understand their WHAT, WHY, and HOW. Using our signature consulting methodology that we call “The Makpar Way,” we help agencies navigate the ongoing changes in the Federal technology landscape. We succeed where others fail because of our connected and engaged workforce are dedicated to delivering success for our clients and the American people. Our Mission: We solve complex problems for the Federal government to accelerate access to citizen services. When it comes to excellence, we deliver. Learn more about our employer brand at makpar.com/careers. Makpar has an exciting opportunity for a Senior Data Scientist. The Senior Data Scientist will support enterprise data and analytics initiatives. This role requires expertise in AI/ML development, Python, and advanced analytics to guide teams and deliver enterprise-level analytics solutions. requirements. Key Responsibilities: • Provide technical leadership on analytics and AI/ML solutions., • Develop and deploy machine learning models and predictive analytics., • Use Python, Anaconda, and Jupyter notebooks for modeling and prototyping., • Collaborate with Data Engineers to integrate models with data pipelines., • Support data governance activities (tagging, metadata management, sharing)., • Develop RPA solutions to automate business processes., • Evaluate analytics products to ensure alignment with mission objectives., • Communicate findings through dashboards, visualizations, and technical reports.Qualifications, • Active Secret clearance (required)., • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or related field., • 7+ years of professional experience in data science and AI/ML., • Strong expertise in Python, Jupyter, and Anaconda., • Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn)., • Experience with RPA tools (UiPath, Automation Anywhere, or Python-based)., • Familiarity with Databricks, Apache Spark, and SQL., • Excellent communication and stakeholder engagement skills.Clearance Requirement

Job Description Black Cape Title: Brilliant BackEnd Software Engineer (2+ years - Senior Level) Locations: Arlington, VA, Reston, VA and areas throughout the DMV area Onsite Expectations: MUST be willing to go onsite 2 - 3 days per week; could be up to 5 days per week - as the customer needs Clearance: MUST have an Active Top Secret or TS/SCI clearance * Black Cape has Won “Best Places to Work” every year in existence by either the Washington Business Journal & Virginia’s Best Places to Work! Want to be a part of an intelligent, talented, dynamic, and FUN team and keep building something GREAT?? Then, you should consider Black Cape! • We work with Department of Defense (DoW) and Intelligence Community (IC) customers to accomplish their missions, • Come join us to work on cloud-native full-stack web applications, advanced data analysis tools, and machine learning capabilities Black Cape is a unique technology company with a focus on full-stack web applications, advanced data analysis tools, and integrating AI/ML capabilities for federal government customers. We are a COOL and FUN crew that works hard and plays maybe even a little harder. Our core team is an impressive group of engineers with exceptional leadership at the helm. Black Cape is led by proven business and engineering leaders with a track record of building innovative technology companies focused on building mission applications. We support many programs and agencies as both a prime and a subcontractor and created a strong reputation working with top tier partners doing work for all major Intelligence Community agencies, DoW, and Special Operations customers. Our engineer-led software teams develop technical solutions on an aggressive schedule across the DoW and IC to meet customer needs. Our engineers apply proven, repeatable software, technical, and analytical approaches to build solutions and have frequent interaction with end users to produce and deploy solutions. We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow, Python scikit-learn, and other tools. Black Cape’s approach to solution development combines lessons learned from developing and deploying applications to customer cloud environments with industry best practices in Agile development and DevOps. What we are hiring: • Exceptional Full Stack engineering experts from diverse technical and experience backgrounds!, • We are expanding and need to hire motivated engineers to help build innovative solutions for our customers. The ideal candidate needs limited direction and is passionate about technology. A willingness and desire to learn new technologies or languages quickly is a must., • We are considering Junior to Senior Level software engineers (Minimum of 1.5 Years of Professional experience), • Proficient with at least one core coding language such as Python, Java, JavaScript, Golang or other, • Proficient with developing open standard APIs (i.e. REST or GraphQL) using a framework such as FastAPI, SpringBoot, or other framework, • Proficient with at least one databases, such as PostgresQL, MySQL, Elasticsearch, or other data storage tools, • Experience with Linux based distros, such as Debian, RedHat, or Alpine, • Experience with SDLC tools, such as JIRA, Confluence, GitLab, GitHub, and BitBucket, • Experience with Docker-based development and containerization, • Aptitude for learning new technologies, tools, and processes, with a proven history of picking up new skills as project needs evolve, • Experience working in classified government environments or willingness to work at classified government sites as needed, • Experience developing on MacOSX, Windows, or Linux Preferred Technical Skills (NICE TO HAVES): • Testing libraries such as Pytest, JUnit, or others, • CI/CD tools such as Jenkins or GitLab CI, • Deployment tools such as AWS, Kubernetes, Helm, or Ansible, • Data processing tools such as Apache NiFi, Apache Kafka, Redis, or Celery, • Experience with server configuration such as of NGINX, Apache, HAProxy, Traefik or similar, • CompTIA Security+ certification, • Machine learning tools such as pytorch, transformers, and CoreNLP, • Dependency management tools such as poetry, uv, Pipenv, or maven, • Large language models (LLMs) and servers, such as Ollama, Llama.cpp, and vLLM Great Benefits | 401K | Competitive Salary | Generous Time Off | Exceptional Team-Building & Fun Company Events | Mentorship & Professional Development Programs | Tuition Reimbursement CONTACT: Please Apply Here :-) ! Powered by JazzHR OaEcK8S0Ms

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do: • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities., • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness., • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation., • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization., • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments., • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules., • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness., • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads., • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience., • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models., • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches., • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications., • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs., • Proficiency with version control, debugging, and test-driven development in cross-functional teams., • Ability to obtain a SECRET clearance.Preferred Qualifications:, • Hands-on integration or algorithm development with airborne sensing systems., • Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks., • Experience deploying perception software on SWaP-constrained platforms., • Familiarity with validating perception systems during flight test events or operational environments., • Understanding of sensing challenges in denied or degraded conditions. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the Team The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division develops, adapts, and applies cutting-edge autonomy research to solve real-world problems on the foundation of physics-based modeling and simulation. Algorithmic areas of interest include AI/ML, controls theory, sensor signal processing (especially radar and EO/IR), tracking, optimization, and resource allocation. Application domains include: manned air platforms (e.g., the F-35 Joint Simulation Environment), unmanned air platforms, and space assets, primarily for the Air Force and Navy as well as DARPA research programs. The Role: The SAAM Group is seeking a Senior Researcher to research, design, develop, and implement a portfolio of capabilities to further our autonomy mission. You will participate in multi-disciplinary teams spread across multiple STR campuses to plan and execute technical efforts, prepare reports & deliver talks for customers, contribute to proposal efforts, and develop innovative solutions to complex and challenging national security problems. Specifically, you will focus on innovating and applying AI/ML and other decision-making algorithms to develop autonomy capabilities, particularly in simulation. A successful candidate will have a demonstrated ability to successfully carry out research projects and make rapid progress with limited supervision. This position also requires skills in software development, oral communication, written communications, and peer leadership. Interviews for this role will require an in-person or virtual presentation. What you will do: • Design, develop, and modify cutting-edge machine learning and other algorithms to conduct studies and form conclusions for autonomy and other challenges, • Create, expand, upgrade, and maintain algorithms in software, • Design, develop, validate, and manage large-scale simulations and simulation tools, • This position requires the ability to obtain a Security Clearance at the Secret (S) level, for which US citizenship is needed by the U.S government, • BS +5 years' experience, MS +3 years' experience, or PhD in Electrical Engineering, Physics, Applied Mathematics, or related field, • Good programming skills in one or more scientific programming languages, such as C/C++, Python, or MATLAB; preferably in Linux., • Some experience or interest in at least two of the following: machine learning, algorithm development, modeling & simulation, optimization, controls, signal processing, tracking, electronic warfare, resource allocation., • Active Secret or TS/SCI clearance, • Advanced degree in Electrical Engineering, Physics, Applied Mathematics, or related field, • Experience with mission simulators such as AFSIM or NGTS or physics-based simulators such as XPatch or Crisp, • Experience with machine learning tasks such as image recognition, deep reinforcement learning, semantic segmentation, graph neural networks, and tools such as PyTorch, Tensorboard, and Ray., • Experience writing proposals and/or giving briefings to both highly technical and less technical audiences Pay Information Full-Time Salary Range: $134,000 - $174,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job DescriptionDescription: Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the right candidate) DeepSig is the industry leader in ML-based signal sensing with a strong product portfolio. We are seeking a Senior Software Engineer to expand that portfolio utilizing the latest technology to meet the demands of a rapidly evolving industry. In this role, you will participate in the influence of the full product development life cycle: from requirements and design through development, validation, documentation, launch, and ongoing maintenance. You will work directly with key customers and product stakeholders to shape the roadmap and deliver high-impact features. As part of the process, we may invite you to complete a short, practical exercise to showcase your development skills. What You'll be Doing: • Expand and maintain DeepSig signal sensing products, • Work with product stakeholders to contribute to the roadmap, delivering customer and engineering-driven features, • Keep up with software and hardware advances and industry best practices; identify appropriate technologies and chart a course for their integration, • Create and maintain technical designs; lead and participate in design reviews to ensure quality and alignment across the team, • Manage build systems and dependencies, • C++17, • NVIDIA stack (CUDA, TensorRT), • Python, PyTorch, • CMake, • Docker, • GitLab, • Candidates must be authorized to work in the United States by US citizenship to meet certain information processing and contract requirements, • Bachelor’s degree in Electrical Engineering, Computer Science, or related field; Master's degree preferred, • 7+ years of C++ development experience with strong command of modern C++, • Experience developing and maintaining build environments for C/C++ applications (Make/CMake), • Demonstrated experience across full software development life cycle, • Experience managing CI/CD pipelines (e.g., GitLab CI), • Experience developing and deploying applications on Linux (packaging, system services, shell scripting), • GPU development experience (e.g. CUDA), • Software-defined radio (SDR) experience, • Embedded system experience DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance. DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings. Requirements:

Job Description Senior Manager, Commercial Analytics & Data ScienceHow you’ll make an impact: • You will build machine learning models to answer key business questions impacting strategy and marketing spend allocation, • You will perform feature engineering and contribute to our feature store, • You will lead dashboard development and lead development of enhanced visualization toolsResponsibilities: What you’ll do:, • Build advanced machine learning models to inform marketing tactics (examples: adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.), • Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy., • Use enhanced python based graphical visualizations to deliver key insights to leadership., • Research and implement novel modeling techniques to solve complex business problems., • Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results., • Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions., • Measure incrementality of paid media campaigns using matched market testing.Requirements: What you’ll need:, • Bachelor’s or Master's degree in data science, computer science, statistics, engineering, or related quantitative field., • Strong prior experience in data science, business & statistical analytics., • 7+ years of experience in related field., • Strong background in SQL & Python, R is a plus., • Experience in machine learning algorithms & libraries. Examples: CausalML/EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN., • Experience in visualization tools. Examples: Databrick AI/BI, Rshiny, Dash, Tableau., • Familiarity with Databricks platform is a plus., • Willingness to take initiative and to follow through on projects., • Excellent time management skills with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment., • Must have legal right to work in the U.S.Compensation:, • $100 to $105/hr. (W2)Job req# 1654-1

Job Description VSolvit is looking for a broadly talented Data Scientist with quantitative research skills to take an active role on our data analytics team. You will work on vast amounts of DEA data to discover hidden information by applying modern statistical and ML/AI techniques. The main scripting languages used on this program are Python and some 'R'. The databases are MS SQL Server and Elastic Search and are used against the enterprise data warehouses with Kibana, Tableau or other BI and Visualization tools. This is a mature team that is high profile and charged with delivering solutions in Data Sciences enabling maximum leverage of DEA master data. At a higher Level, this position is part of a team of developers and IT SME’s who support the DEA data warehouse project and the ability to recognize opportunities for the correlation of data is vital for this position. The need for strategic thinking, with the ability to easily spot gaps, ensure accuracy, and find differences in what should be the same values in data, and lags in data that will ultimately affect velocity and overall quality of the products, is highly desired. Your primary focus will be applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with DEA programs and DEA data (e.g. structured, unstructured, and mixed datasets). You will also design and develop automatic scoring using machine learning techniques, build recommendation systems, design, and develop classifiers for feature extraction. This program is one in which pushing boundaries and innovation within the scope of the program is valued. There is a fully supported effort to develop and further Power BI/ML/AI in the quest for 'making the data dance'. The Data Sciences group provides innovative algorithm development using various techniques to achieve desired insight or open eyes to new revealing results and possibilities. In addition to technical knowledge the team values the ability to collaborate and communicate with one another to ensure a highly productive, respectful, and harmonious work setting, be it virtual or mixed of onsite and remote. As with any position, additional expectations exist. Some of these include, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), staying focused on the assigned tasks, and completing other tasks as assigned. Responsibilities • Work with large DEA data using descriptive statistics and data visualization tools, • Create insights from existing DEA data, and drive the collection of new data and ways to address new data, • Collaborate with clients and team members to understand and communicate results, and to put insights into operation, • Enhancing data collection procedures to include information that is relevant for building analytical systems, • Doing ad-hoc analysis and presenting results in a clear manner, • Work with other team members such as those focused on Data warehousing, Tools development, software development, DevOps, systems analysts etc., • Design accurate and scalable prediction algorithms, • Collaborate with engineering team to bring analytical prototypes to production, • U.S. Citizenship Required, • Secret Clearance Required, • Must be able to pass a DEA Security Approval, • Team experience (i.e., managing tasks with other Data Scientists; communicator to client and other DEA Team Leads; good communication skills orally and in writing), • At least 2 years of data science and custom Machine Learning and AI model training experience solved ‘real world’ problem (to include supervised and unsupervised) and Natural Language Processing (NLP) expertise focusing on unstructured data with Anaconda, VScode with Git Version control, • Bachelor's or Master's degree in Computer Science, Data Science, or a related field., • 5+ years’ of professional experience in data science and analysis, • 5+ years’ Python, “R” or other scripting languages, • 2+ years’ database experience, • ML practice – using scikit learn, tensorflow, or pytorch and perform DEA (Data exploration Analysis), clean data, model selection, feature selection/tuning, and deployment, • 2+ years’ experience with data visualization tools, • Utilize a strong understanding of Machine Learning basics to design and implement effective models for [specific industry/sector] applications., • Professional experience in implementing and deploying Deep Learning models to solve complex problems, • Collaborate with cross-functional teams as a team player to integrate data science solutions into our products and services., • Demonstrate excellent communication skills to convey complex technical concepts to non-technical stakeholders and team members., • Utilize Git for version control, ensuring effective collaboration and code management within the team., • Embrace Agile methodologies to adapt to fast-paced development cycles and deliver high-quality results., • Solid understanding of statistical analysis and data visualization techniques., • Ability to work independently and collaboratively in a team-oriented environment., • Dedication to continued learning, be team-oriented, self-driven, quality minded, and customer-friendly, • Graduate degree in a quantitative social science or a STEM field highly desired, • 10+ years’ of professional experience in data science and analysis, • 10+ years’ Python, “R” or other scripting languages, • 5+ years’ of relational database experience, • 5+ years of non-relational/big data experience, • Experience or knowledge of ELK may be helpful, • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc., • Proficiency in using data query languages such as SQL, Hive, Pig, Pandas, MongoDB, • Proficiency in big data modeling work: Hadoop, Pig, Scala, Spark, • Good, applied statistics skills, such as distributions, statistical testing, regression, etc. Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team. VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.

Job Description (ID: 2026-1886) Position Overview NGRF (NovaGen Research Fund) is a new data science collaboration hub including multiple labs and centers. NGRF is seeking a researcher to join the LLM Lab and contribute to NGRF's scientific discovery platform. This role combines original research in scientific integrity with hands-on development of NLP and AI capabilities on a large-scale biomedical data platform. The researcher will work with a multi-terabyte curated literature database, develop and evaluate NLP models, build retrieval-augmented generation (RAG) pipelines, and contribute to a federated knowledge graph that models scientific claims and evidence relationships. The role spans research and engineering — publishing peer-reviewed findings while building the models and pipelines that power NGRF's platform. Key Responsibilities * Scientific integrity research: Design and execute large-scale computational analyses of scientific publishing practices across the biomedical literature. Publish findings in peer-reviewed venues (e.g., Scientometrics, JASIST, Quantitative Science Studies). * NLP model development: Develop and validate models for semantic analysis of scientific text — including claim extraction, relevance scoring, and relationship detection. Build on existing RAG infrastructure and vector search capabilities. * Big data and pipeline engineering: Work with a multi-terabyte literature database and external APIs (PubMed, CrossRef, OpenAlex) to build scalable data processing and analysis pipelines. Integrate structured and unstructured data sources into reproducible workflows. * Collaboration and outreach: Work with external partners in the research integrity community. Present findings at conferences and contribute to NGRF's visibility in the scientific integrity space. Required Qualifications * PhD in natural language processing, computational linguistics, computer science, information science, or a related field * Publication record in NLP, text mining, or computational approaches to scientific literature * Strong programming skills in Python with experience in modern ML/NLP frameworks (e.g., PyTorch, Hugging Face Transformers) * Experience working with large text corpora and large-scale datasets * Familiarity with vector databases, embeddings, semantic search, and retrieval-augmented generation (RAG) * Experience with knowledge graphs, ontology design, or graph databases * Demonstrated ability to design and execute independent research projects * Strong written and oral communication skills Preferred Qualifications * Background in scientometrics, bibliometrics, or research integrity * Experience with scientific publishing APIs and metadata (DOIs, PubMed, CrossRef, OpenAlex) * Familiarity with claim extraction, relation extraction, or scientific argument mining * Proficiency with Git, GitHub, and collaborative software development workflows * Experience with Linux/Unix environments and command-line tools * Familiarity with containerization (Docker) and CI/CD pipelines * Experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot) * Experience deploying NLP models in production or near-production settings * Familiarity with Kubernetes, infrastructure-as-code, or cloud platforms (AWS) * Experience with SQL databases (PostgreSQL) and data modeling * Track record of interdisciplinary collaboration Compensation The prospective salary range for this position is $80,000–$92,000 annually. Salary Range$80,000—$92,000 USD Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of NovaGen's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate. Accessibility: If you need an accommodation as part of the employment process please contact: This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.

Job Description Analytica is seeking a highly skilled Senior MLOps Engineer to lead the design, development, and deployment of machine learning operations infrastructure for defense applications. This role requires expertise in systems integration, ML pipeline development, and responsible AI practices within government environments. The position focuses on building scalable data and AI capabilities that support DoD mission-critical operations while ensuring compliance with responsible AI principles. This position offers the opportunity to shape the future of AI and machine learning capabilities within the Department of Defense while ensuring responsible, ethical, and effective deployment of advanced technologies in support of national security missions. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Responsibilities: Systems Integration & Command-and-Control Development: • Serve as subject matter expert for systems integration supporting the design, development, and deployment of command-and-control products, • Lead networking and integration efforts for AI/ML systems deployed in operational and exercise environments, • Design and implement robust MLOps pipelines that support real-time decision-making capabilities for defense applications, • Provide senior technical expertise in modeling, designing, and delivering advanced data tools and ML platforms for DoD-wide adoption, • Build and maintain scalable infrastructure to handle massive-scale video, image, structured and unstructured text data processing, • Develop automated data ingestion, preprocessing, and feature engineering pipelines that support diverse data types and formats, • Establish and maintain an enterprise-level advanced technology pipeline to accelerate AI/ML adoption across the agency., • Implement data quality monitoring, validation, and governance frameworks to ensure high-quality training datasets, • Design and optimize ML model training, testing, and deployment workflows that reduce implementation cycles, • Support the development of optimization models for government engagement with external partners and technology vendors, • Create and maintain integration workflows that leverage external capabilities while maintaining security and compliance standards, • Create, iterate, and publish comprehensive guidance materials for data science and AI development practices, • Develop and maintain coding standards and best practices documentation for ML development teams, • Design and implement data integration solutions that support enterprise data mesh architecture, • Develop real-time data feed integration capabilities for live operational data streams, • Build APIs and microservices that enable seamless data sharing across DoD systems and applications, • Lead the implementation and management of DoD responsible artificial intelligence programs and initiatives, • Integrate responsible AI tools, frameworks, and assessment methodologies into existing and new use cases, • Develop comprehensive performance metrics and evaluation frameworks for AI/ML projects and tools, • Conduct regular assessments of AI system outcomes, bias detection, and ethical compliance, • Establish MLOps monitoring and observability solutions for production ML systems, • Develop automated model performance tracking, drift detection, and retraining pipelines, • Create dashboards and reporting tools that provide visibility into ML system performance and reliability, • Conduct post-deployment analysis and continuous improvement of ML operations processes Required Qualifications:, • Bachelor's degree in Computer Science, Data Science, Machine Learning, or related technical field; Master's degree preferred, • Minimum 7-10 years of experience in MLOps, DevOps, or related systems engineering roles, • Strong expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn), containerization (Docker, Kubernetes), and cloud platforms, • Experience with data pipeline tools (Apache Airflow, Kubeflow, MLflow) and big data technologies (Spark, Hadoop), • Experience with defense or intelligence community AI/ML projects, • Certifications in cloud platforms (AWS ML, Azure AI, GCP ML) and MLOps tools, • Knowledge of responsible AI frameworks and bias detection methodologies, • Experience with real-time data processing and streaming technologies, • Familiarity with DoD enterprise architecture and data sharing standards Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Powered by JazzHR PV7NGnRobU

Job Description What Impact You'll Have: Join a mission-focused team where your work truly matters. We are seeking a Senior Computer Vision Engineer to help build cutting-edge solutions that support critical national defense operations. This role combines hands-on development, system-level thinking, and close collaboration with cross-functional teams including software engineers, systems integrators, and program managers. You'll be at the forefront of designing and deploying real-time computer vision systems that perform in dynamic and often high-stakes environments. This is a results-driven role within an ML-Ops environment focused on delivering production-ready solutions, processing large-scale data, and ensuring robust model deployment and performance in real-world conditions. In this role, you will also contribute to full lifecycle systems engineering activities, ensuring the translation of mission requirements into scalable, effective, and supportable technical solutions across both software and integrated systems. What You'll Be Owning: • Design and implement advanced vision models for tasks such as object detection, tracking, scene understanding, and activity recognition., • Collaborate with engineering teams to integrate vision capabilities into defense systems., • Optimize performance for edge devices and embedded systems., • Complete testing and validation of computer vision systems., • Contribute to system architecture, technical strategy, and full lifecycle systems engineering activities., • Perform technical planning, system integration, verification and validation, cost and risk analyses, and supportability and effectiveness assessments., • Conduct functional analysis, timeline analysis, trade studies, requirements allocation, and interface definition to translate customer requirements into hardware and software specifications., • Support system development across all lifecycle phases including concept, design, fabrication, test, installation, operation, maintenance, and disposal., • Ensure the logical and systematic conversion of customer and product requirements into total systems solutions that account for technical, schedule, and cost constraints., • Mentor junior engineers and help define best practices for the team., • Maintain security and compliance throughout the development lifecycle. What You Must Have: • Active TS/SCI clearance with Polygraph eligibility., • Bachelor's degree in Computer Science, Data Science, or a related field; equivalent experience will be considered., • 9+ years of experience in computer vision, machine learning, or closely related fields., • Proficiency in Python and its ecosystem, including frameworks and libraries such as Flask, SQLAlchemy, Boto3, NumPy, and Pillow, as well as deep learning tools such as PyTorch and TensorFlow; experience with Swift (OpenStack client) is also required., • Proficiency in writing and optimizing SQL queries for data retrieval, analysis, and management., • Experience with modern computer vision models such as YOLO, Faster R-CNN, and Vision Transformers., • Familiarity with OpenCV and classical computer vision techniques., • Strong engineering fundamentals, including experience with Git, Docker, and CI/CD practices., • Experience with machine learning utilities such as MLflow, Optuna, and DVC. What Would be Nice to Have: • Experience supporting government or defense-related programs., • 5+ years of experience developing Python scripts for data automation, process optimization, and machine learning workflow implementation., • Knowledge of real-time video analytics, sensor fusion, or 3D perception., • Experience working within secure or classified development environments. #LI-CM1 Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision, • Health Savings Account with company contribution, • Annual Paid Time Off and Paid Holidays, • Paid Parental Leave, • 401k with generous company match, • Training and Development Opportunities, • Award Programs, • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. This position is ideal for an individual who thrives on building advanced perception systems that enable autonomous aircraft to operate effectively in complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.What you'll do: • Develop advanced perception algorithms — Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities., • Implement sensor fusion frameworks — Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness., • Develop state estimation capabilities — Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation., • Analyze and utilize sensor ICDs — Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization., • Optimize perception performance — Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments., • Support autonomy integration — Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules., • Validate in simulated and operational settings — Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness., • Collaborate with hardware and sensor teams — Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads., • Drive innovation in airborne sensing — Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments., • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).Required Qualifications:, • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience, • Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience., • Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models., • Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches., • Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications., • Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs., • Proficiency with version control, debugging, and test-driven development in cross-functional teams., • Ability to obtain a SECRET clearance.Preferred Qualifications:, • Hands-on integration or algorithm development with airborne sensing systems., • Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks., • Experience deploying perception software on SWaP-constrained platforms., • Familiarity with validating perception systems during flight test events or operational environments., • Understanding of sensing challenges in denied or degraded conditions. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Type: Term (Fixed Term) Overview RAND's ___, part of the Global and Emerging Risks (GER) Division, is seeking a technical and strategic leader to serve as Senior Research Lead - AI Security Portfolio. CAST conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. In this senior leadership role, you will oversee a large research and engineering portfolio focused on securing advanced AI systems, understanding their cyber capabilities, and informing the policy frameworks that govern them. You will report to CAST Founding Director, ___, and lead two major research teams composed of 15+ researchers and engaged in projects that span technical AI security research, cyber capability evaluation, and infrastructure development. Your work will guide RAND's broader efforts to ensure AI technologies are safe, secure, and aligned with U.S. and allied national security priorities. As Portfolio Lead, you will: * Define and drive RAND's research agenda on secure AI systems, establishing priorities across multiple teams and programs. * Lead complex, cross-functional projects integrating technical R&D, cybersecurity operations, and policy analysis. * Mentor and manage senior technical staff, project leaders, and researchers across a portfolio of 15-30 people. * Translate technical findings into actionable insights for policymakers, regulators, and industry leaders. * Oversee development of AI-specific threat models, security architectures, and evaluation tools that assess cyber risks and resilience. * Engage directly with senior government and industry stakeholders to ensure RAND's research informs decisions at the highest levels. * Represent RAND at technical and policy forums, including national security working groups, agency briefings, and expert panels. This position is structured as a focused three-year appointment to accelerate research and provide rigorous analysis that informs evidence-based policymaking in this rapidly evolving field. Every day of your tenure will count toward achieving ambitious projects in AI security. The appointment may be renewed with options for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As AI Security Portfolio Lead, you will uphold that standard while guiding cutting-edge research with real-world policy impact. Qualifications All research leadership positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Required: * Technical experience in AI security, cybersecurity engineering, or adjacent emerging technology fields. * Demonstrated success leading large technical or research programs, including managing multidisciplinary teams and budgets. * Proven experience designing and delivering complex projects from concept through completion. * Deep understanding of AI ___, system vulnerabilities, and cyber capability evaluation. * Strong ability to communicate complex technical issues to senior non-technical stakeholders. * Familiarity with U.S. cybersecurity policy processes and agencies. * Excellent written and verbal communication skills. Preferred: * Background in leadership at frontier AI labs, startups, or hyper-scalers * Background in AI or cybersecurity R&D, red team operations, or ___ (APT) defense. * Experience developing or overseeing secure infrastructure for AI model training and deployment. * Familiarity with AI/ML hardware and software stacks (e.g., GPUs, TPUs, CUDA, PyTorch, TensorFlow). * Experience working in or with government on AI or cybersecurity policy. * Graduate of CNODP, RIOT, FORGE, or equivalent elite technical program. Education Requirements PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar is required, with 6+ years of professional experience. OR Master's degree in the fields listed above with 9+ years of professional experience, is required. OR Bachelor's degree in the fields listed above with 12+ years of professional experience, is required. Master's or PhD preferred. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA; Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work within the US will also be considered. Writing or Code Sample Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains. Term This position is a 3-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: $167,300 - $261,400 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with Gartner to unlock value. Our clients are IT and business leaders worldwide, relying on the platform embedded in their workflows for critical priorities. Our mission is to accelerate innovation through intelligent digital products that disrupt the market and ourselves - constantly seeking data science leaders to champion this vision. The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and business outcomes. What You Will Do • Lead the data science roadmap spanning personalization, recommendation systems, and GenAI chatbot development, owning strategy for user profiling, content matching, ranking, conversational AI, and next-best-action systems., • Architect AI-powered chatbot systems including intelligent search, recommendation engines, context-aware retrieval, and Model Context Protocol (MCP) servers for seamless AI agent integration with enterprise systems and external tools., • Apply transformer-based models, LLMs, and advanced techniques to enhance recommendation relevance, search optimization, user personalization, and scalable GenAI solutions., • Leverage internal and external data to model client company priorities, competitive landscapes, engagement signals, and deliver targeted support., • Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs, iterate rapidly, and deliver measurable business value., • Lead a team of data scientists, driving enhancements in accuracy, coverage, latency, scalability, stability, and adoption while maintaining strong MLOps practices., • Translate quantitative analysis into actionable strategies, pitch high-impact ideas, and influence senior leadership on long-term vision and solution roadmaps., • Stay current on fast-moving AI/ML advancements, particularly LLMs, conversational AI, agentic systems, and transformer architectures. What You Will Need • 8-12 years of experience in data science, machine learning, or AI, with at least 3 years managing data science and engineering teams., • Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required., • Proven leadership developing personalization systems, recommendation engines, search/ranking solutions, conversational AI, chatbots, and GenAI applications powered by transformer-based models and LLMs., • Demonstrated success translating business priorities into technical roadmaps, driving cross-functional execution, and delivering production ML systems with clear business impact., • Strong communication skills to influence executives, translating complex analysis into compelling strategies and value propositions., • Deep expertise in ML lifecycle, Lean product principles, MLOps, experimentation frameworks, and production recommender/GenAI systems., • Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face, LangChain), SQL/relational databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate), distributed ML (Spark), Linux/shell scripting, and cloud platforms (AWS SageMaker, Azure ML)., • Working experience in: Large Language Models/Generative AI, conversational AI/chatbot development, NLP/text mining, search & recommendation systems, prompt engineering/LLM optimization, AI agent architectures., • Collaborative leader who thrives in feedback-driven cultures with bias for action and client outcomes. What You Will Get • Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!, • Collaborative, team-oriented culture that embraces diversity., • Professional development and unlimited growth opportunities. #LI-CW4 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 122,000 USD - 168,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to___. Job Requisition ID:108588 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: ___ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior Data Scientist Lead to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement—helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Lead efforts to extract insights from operational, service, and performance data to identify opportunities for improvement. * Lead development and deployment of advanced statistical models, machine learning algorithms, and predictive analytics solutions. * Design and develop predictive models and data-driven analytical frameworks that optimize processes and support informed decision-making. * Build models that forecast future demands, highlight operational and service-related risks, and detect performance anomalies in real time. * Collaborate with engineering and functional teams to ensure analytical outputs are accurate, actionable, and aligned with mission objectives. * Design experiments, feature engineering strategies, and model validation frameworks to support enterprise analytics objectives. * Collaborate with data engineering teams to ensure scalable data pipelines supporting model training and inference. * Integrate models into DevSecOps pipelines for automated testing, validation, and production deployment. * Develop and maintain documentation, evaluation metrics, and model performance dashboards. * Ensure responsible AI practices including bias detection, explainability, and performance monitoring. * Participate in PI Planning, backlog refinement, sprint reviews, and Inspect & Adapt events to align analytics priorities with Program Increment (PI) objectives. * Translate complex analytical findings into actionable insights for technical and executive stakeholders. * Provide direct supervision, mentoring, and performance management for assigned data scientists and analytics personnel. * Conduct performance evaluations, goal setting, and professional development planning. * Lead workforce planning and staffing alignment across data science workstreams. * Establish modeling standards, peer review processes, and analytical quality governance frameworks. * Foster a collaborative, innovative, and mission-focused analytics culture within the organization. Basic Qualifications: * Active Top Secret (TS) clearance with SCI eligibility. * Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 8 years of relevant experience OR Master’s degree in a related field and 6 years of relevant experience. * Minimum of 8 years of experience in data science, data engineering, or a related field. * Strong proficiency in programming languages such as Python, R, SQL or similar analytical programming languages. * Experience with data engineering tools and platforms, such as Hadoop, Spark, or similar. * Experience developing and deploying machine learning and statistical models in enterprise environments. * Proven experience in designing and developing predictive models and data-driven analytical frameworks. * Experience performing data exploration, feature engineering, model validation, and performance tuning. * Knowledge of data security policies, including data encryption and access controls. * Experience with data governance frameworks and compliance enforcement. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. * Demonstrated experience leading and mentoring technical analytics teams. Preferred Qualifications: * Active TS/SCI clearance. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * Experience supporting analytics initiatives across NIPRNet, SIPRNet, and JWICS environments. * Experience operationalizing AI/ML models in cloud-native environments (AWS, Azure, or GCP). * Knowledge of machine learning algorithms and frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent. * Experience implementing model monitoring, drift detection, and continuous validation frameworks. * Experience supporting enterprise data, AI/ML, or digital modernization programs within DoD environments. * Experience with cloud-based data platforms and tools, such as AWS, Azure, or Google Cloud. * Experience with data visualization tools, such as Tableau or Power BI. * Experience with data catalog management and data sharing agreements. * Strong project management skills and experience leading cross-functional teams. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: March 16, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Type: Term (Fixed Term) Position Description RAND's ___, part of the Global and Emerging Risks (GER) Division conducts cutting-edge research on transformative, high-impact technologies-including artificial intelligence and biotechnology-to shape policies that protect global security and advance the public good. You will be responsible for managing significant research budgets and personnel, overseeing complex technical research and policy analysis projects, and leading multidisciplinary teams of policy researchers, engineers, and scientists. Your work will inform analysis delivered to senior government and industry leaders. Your team will communicate findings to both technical and non-technical audiences through quick-turnaround policy briefs and detailed technical analyses. A recent example of one of our research products is the ___ report, which explored protecting frontier AI model weights from theft and misuse. This position is structured as a two-year appointment with options to renew and explore opportunities for longer-term employment at RAND thereafter. RAND's reputation for excellence is built on our commitment to high-quality, rigorous analysis and objectivity. As a Research Lead - Securing Frontier AI, you'll maintain that excellence while engaging with some of the most pressing challenges of our time. Qualifications All research positions at RAND require excellent analytic skills; the ability to communicate clearly and effectively, both orally and in writing; the ability to work effectively as a member of a multi-disciplinary team; and a strong commitment to RAND's core values of quality and objectivity. Required: * 6+ years of technical experience in security engineering, software engineering, firmware engineering, hardware engineering, or related fields * 6+ years of technical management experience, including leading cross-functional teams, managing project budgets, and mentoring and developing team members * Demonstrated ability to successfully lead complex projects to completion * Proficiency in Python, Java, C/C++, or other popular programming languages * Ability to develop rigorous and comprehensive ___ and identify potential system vulnerabilities * Strong ability to communicate effectively in English, both verbally and in writing * Ability to reason about policy options given different technical considerations * Ability to work effectively in a collaborative, multidisciplinary environment * Fluency with MS Office suite Preferred: * Graduate of the Computer Network Operations Development Program (CNODP), Remote Interactive Operator Training (RIOT), Future Operator Readiness Growth and Enrichment (FORGE), or equivalent experience * Experience with red team operations or offensive cyber capabilities development * Understanding of ___ (APT) tactics, techniques, and procedures (TTPs) and experience with defending against them * Ability to think creatively about offensive and/or defensive techniques and strategies, beyond compliance with existing regulations * Familiarity with U.S. cybersecurity agencies, authorities, and policy development processes * Experience working in or with government on cybersecurity policy * Experience with advising non-technical stakeholders on security topics * Familiarity with the AI/ML hardware stack (e.g. GPUs, TPUs, data center design) * Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray) * Experience working on AI research, ML model training, or model deployment * Experience with securing AI systems Education Requirements RAND is hiring a Research Lead at either the specialist or expert level of experience. Minimum education requirements at the specialist level include: A PhD in Computer Science, Computer Engineering, Electrical Engineering, Cybersecurity, Information Security, Information Technology, Mathematics, Applied Mathematics, Physics, Applied Physics, Engineering Physics, Artificial Intelligence, Machine Learning, Engineering and Public Policy, Technology and Policy, National Security Policy, Policy Analysis, Political Science, International Relations, or similar with at least 3 years of relevant professional experience is required. OR A Master's degree in the fields listed above with at least 6 years of relevant professional experience, is required. OR A Bachelor's degree in the fields listed above with at least 8 years of relevant professional experience, is required. Master's or PhD preferred. Security Clearance Ability to obtain and maintain a U.S. government clearance is preferred but not required. Location We are hiring for this position in San Francisco, CA;Washington, DC; Santa Monica, CA; Pittsburgh, PA; and Boston, MA. We offer a hybrid work arrangement, combining work from home and on-site options. Fully remote work will also be considered. Writing or Code Sample Either a writing sample or a code sample is required for this position. This sample can use a recent, previously written paper or technical report (e.g., journal article, master's thesis or paper written for coursework, research project, technical analysis, briefings), or source code showing technical expertise in relevant domains. Term This position is a 3-year term appointment with a possibility of renewal, alongside options for longer term employment. Salary Range: $146,200 - $261,400 Visiting Technical Specialist = $$146,200 - $211,900 Visiting Technical Expert = $167,300 - $261,400 RAND considers a variety of factors when formulating an offer, including but not limited to, the specific role and associated responsibilities; a candidate's work experience, education/training, skills, expertise; and internal equity.Successful candidates will be offered employment in a specific title, as determined by the candidate's education and experience. The salary range includes base pay plus RAND's sabbatic pay (which provides additional compensation above base pay when vacation is taken). In addition, RAND provides strong benefits including health insurance coverage, life and disability insurance, savings plan, paid time-off and more. Equal Opportunity Employer

About The Role: ___ (IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking anAssociate AI Engineer to be part of our Warfare Systems team and based out of our Arlington, VA or Mt. Laurel, NJ location.The Associate AI Engineer will design and deliver engineering-focused AI solutions that move beyond demos into reliable, mission-relevant systems. This role is ideal for an early-career engineer who is strong in Python, excited by LLMs and autonomous agents, and motivated to build end-to-end capabilities including MCP integrations, RAG pipelines, tool-using agents, and production-grade AI workflows.Clearance & Location Requirements: • All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance., • This is an on-site position. Requiring at least 3 days in office, based out of our Arlington, VA or Mt. Laurel, NJ location.What You Will Do:, • Design and Build AI Solutions: Design and implement end-to-end agentic AI systems that support planning, reasoning, tool use, and multi-step execution in real-world environments. Build modular, testable components that move from prototype to operational capability., • Integrate Models and Tools: Develop integrations across LLMs, APIs, data sources, and Model Context Protocol (MCP) interfaces to enable intelligent agents to interact with external systems, retrieve context, and take action safely and reliably., • Develop Retrieval Pipelines: Build and optimize Retrieval-Augmented Generation (RAG) pipelines that connect models to live knowledge sources, structured data, and enterprise content to improve factual grounding, contextual relevance, and response quality., • Engineer Conversational and Agentic Interfaces: Create conversational systems and intelligent agents with memory, contextual awareness, adaptive decision-making, and support for multi-turn user and system interactions., • Implement and Evaluate AI Workflows: Translate technical objectives into working pipelines, run experiments, evaluate agent behavior, and iterate on prompts, orchestration logic, retrieval quality, and system performance to improve reliability and usability., • Scope and Define Requirements: Gather, document, and validate technical and functional requirements from project artifacts, stakeholders, and mission needs to ensure feasibility, completeness, and alignment with operational goals., • Collaborate Across Teams: Work closely with engineers, technical leads, and mission stakeholders to integrate AI capabilities into broader software and system architectures. Participate in technical reviews, design discussions, and delivery planning., • Support Technical Quality: Contribute to testing, debugging, and performance optimization of AI-enabled applications, including edge cases involving context management, retrieval failures, tool execution, and orchestration logic., • Learn and Apply Emerging Practices: Stay current on advances in LLMs, agent frameworks, orchestration methods, and applied AI engineering practices, and bring that knowledge into practical system design and implementation., • Communicate Technical Work: Clearly document architectures, workflows, assumptions, and implementation decisions so that solutions are maintainable, explainable, and transferable across teams.Who You Are (Required):, • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Applied Mathematics, Artificial Intelligence, or a related technical field, or equivalent full-time professional experience, • 0-3 years of full-time professional experience in software engineering, machine learning engineering, AI engineering, or related technical roles, • Ability to travel up to 10% of the time as needed, • Proficiency in Python, including experience with core libraries such as NumPy and Pandas, • Experience building software with one or more modern AI/ML frameworks such as PyTorch, TensorFlow, LangChain, LangGraph, Semantic Kernel, or AutoGen, • Familiarity with Large Language Models (LLMs), prompt engineering, agent orchestration, or conversational AI systems, • Familiarity with retrieval systems, vector databases, embeddings, or RAG-based application design, • Understanding of software engineering fundamentals, including version control, testing, debugging, and writing maintainable code, • Ability to work independently on technical tasks while collaborating effectively in a team environment, • Strong problem-solving skills, curiosity, and a builder mindset focused on turning ideas into working systemsWhat Makes You Stand Out:, • Experience building agentic AI systems that use tools, memory, planning, or multi-step execution, • Familiarity with Model Context Protocol (MCP) integrations or similar model-to-tool integration patterns, • Experience deploying AI services, APIs, or workflows in cloud or production environments, • Experience with vector databases, retrieval infrastructure, knowledge graph integration, or enterprise search, • Exposure to evaluation methods for LLMs and agents, including reasoning quality, hallucination reduction, tool-use reliability, and retrieval performance, • Experience with Docker, REST APIs, Git-based development workflows, or CI/CD pipelines, • Experience working on defense, government, or other mission-oriented technical programs, • Strong interest in building practical AI systems that must operate reliably in complex, real-world environmentsIf you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network.Pay Range*: $74,000 - $116,000 or $90,000 - $150,000This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience.*Pursuant to New Jersey___ IDT is required to disclose the "pay scale" or "pay range" associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click___ for additional information about Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. About Innovative Defense Technologies (IDT):Innovative Defense Technologies (IDT) is a leading defense technology company focused on rapidly delivering mission-critical software and systems solutions to the U.S. government. The company specializes in automation, digital engineering, and enabling the rapid integration of advanced capabilities into complex weapon and combat systems. These essential solutions empower the warfighter to field, operate, and sustain decisive capability at speed and scale.At IDT, our employees are developing advanced mission-critical outcomes by consistently delivering high-quality results, fostering innovation, applying rigorous problem-solving, and effectively collaborating across multifaceted teams and stakeholders. Grounded in these competencies, IDT translates complex customer priorities into robust software solutions.Why Work at Innovative Defense Technologies (IDT):IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including:, • Generous ___ package, • Competitive PTO, • Paid holidays, • 401(k) with immediate vesting and matching, • 9/80 optional schedule (2nd and 4th Friday off every month), • Tuition Assistance Reimbursement Program, • Professional Development Resources, • Pre-Tax Commuter Benefits, • Organization-Wide Monthly Tech Connect Events, • Annual Employee Recognition Awards, • Regular Social Events and Catered LunchesEEO Statement:IDT is an Equal Opportunity employer.

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior AI Integration Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Implement AI components within existing systems and workflows to support operational use. * Design and manage interfaces and APIs that connect AI models to enterprise platforms. * Ensure reliable production performance by monitoring data flows, validating system interactions, and resolving integration issues. * Collaborate with software, data, and platform engineering teams to maintain stable and efficient AI deployment across the enterprise. * Prepare, maintain, and execute a System Engineering Plan (SEP) for managing all systems architecture and system engineering related aspects of the program. * Conduct systems engineering activities required to specify, build, and maintain system engineering designs for the System. * Design, prepare, and document systems engineering and cybersecurity artifacts for the System. * Establish and maintain an existing System Requirements management environment and associated system requirements management process for the System. * Support the Government in recommending and conducting enterprise system architecture activities to fully define and scope the System. * Define, document, maintain, and promulgate APIs and technical standards for using and interoperating within and outside the System. * Design, engineer, integrate, and continuously improve the underlying infrastructure of the System. * Identify, prepare, track, secure, and integrate government, commercial, and open-source tools and services into the System. * Design, architect, engineer, and continuously improve the user interface (UI) and user experience (UX) components of the Platform. * Design, build, and maintain services and products to effectively make production-ready AI/ML models accessible for customer use. * Design, architect, engineer, and continuously improve all aspects of cybersecurity elements of the System. * Perform site reliability engineering to build and maintain a reliable, scalable, and efficient System. Basic Qualifications: * Active Top Secret (TS) clearance with SCI eligibility. * Bachelor's degree in Computer Science, Engineering, Information Systems, Artificial Intelligence, or related technical discipline and 8-12 years of relevant experience OR Master's degree in a related field and 6-10 years of relevant experience. * At least one of the following foundational qualification pathways consistent with DoD 8140 requirements: * Current DoD 8570/8140 baseline certification appropriate for Intermediate/System Administrator roles (e.g., Cloud+, GICSP, GSEC, or SSCP), * Offerings listed in the DoD 8140 Training Repository, * Demonstrated equivalent training and experience qualifying under DoD 8140 foundational qualification alternatives. * Experience with designing and managing interfaces and APIs for AI models. * Proficiency in monitoring data flows, validating system interactions, and resolving integration issues. * Experience with cloud environments, network, data storage, logging, and auditing functions. * Knowledge of cybersecurity policies and requirements, including NIST security controls and Zero Trust compliance. * Experience with DevSecOps/Factory functions and mission spaces. * Ability to design and maintain system engineering and cybersecurity artifacts. * Experience developing Agentic AI solutions, including autonomous planning-execution-reflection loops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management. * Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search. * Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen. * Experience using vector databases (e.g., Pinecone, Weaviate, FAISS). * Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes). Preferred Qualifications: * Active TS/SCI clearance. * SAFe Agilist (SA) or related SAFe certification. * Experience supporting AI/ML solutions across multi-enclave DoD environments. * Experience implementing automated model validation, bias detection, and drift monitoring frameworks. * Experience integrating AI services into enterprise APIs and microservices architectures. * Experience optimizing GPU-based training and inference pipelines. * Experience supporting enterprise-scale analytics, data platforms, or AI modernization initiatives. Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems * Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments * Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems * Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI * Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 10, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Locations US-VA-Tysons | US-DC-Washington, DC Job ID 2026-13490 # of Openings 6 Category Internships Benefit Type Hourly Low Fringe/Intern LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI's mission to provide innovative solutions for government clients. This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer. *This position is currently full-time onsite at the customers Washington DC office. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Participate in research and development efforts focused on emerging AI and data science methodologies. • Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries., • Develop and implement AI/ML algorithms to solve real-world problems., • Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure., • Create data visualizations and dashboards to present analytical insights effectively., • Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems., • Current enrollment in a degree seeking program required, • Availability to work full-time for at least 10-12 weeks for summer 2026, • Must be available starting at the end of May 2026, • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field., • Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)., • Familiarity with software development, cloud computing (AWS, Azure), and algorithms., • Strong analytical and problem-solving skills with the ability to work on complex datasets., • Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus., • Strong communication and teamwork skills., • Experience working with Microsoft Excel and Access., • Experience with Visual Basic for Applications and Java is highly desirable., • Programming experience-ability to program and learn new programming languages quickly. Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work. We can recommend jobs specifically for you! Click here to get started.

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Journeyman Data Scientist to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: • Develop and apply statistical models and machine learning algorithms to analyze structured and unstructured data., • Perform data exploration, feature engineering, and data preprocessing to support analytics and model development., • Support development and validation of predictive and descriptive analytics models., • Collaborate with data engineers to ensure availability and quality of data for analytics workflows., • Assist in integrating models into production environments through APIs and DevSecOps pipelines., • Develop visualizations, dashboards, and reports to communicate analytical findings., • Support evaluation of model performance, including accuracy, bias, and reliability., • Assist in implementation of model monitoring and continuous improvement processes., • Design and develop predictive models and data-driven analytical frameworks that optimize processes and support informed decision-making., • Build models that forecast future demands, highlight operational and service-related risks, and detect performance anomalies in real time., • Collaborate with cross-functional teams including AI/ML engineers, software developers, and domain stakeholders., • Ensure responsible AI practices including bias detection, explainability, and performance monitoring., • Translate complex analytical findings into actionable insights for technical and executive stakeholders., • Develop and maintain documentation, evaluation metrics, and model performance dashboards., • Document analytical methodologies, models, and results., • Participate in SAFe ceremonies including sprint planning, backlog refinement, sprint reviews, and retrospectives. Basic Qualifications: • Active Top Secret (TS) clearance with SCI eligibility., • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 4-8 years of relevant experience OR Master's degree in a related field and 2-6 years of relevant experience., • Minimum of 4 years of experience in data science, data engineering, or a related field., • Experience applying statistical analysis and machine learning techniques., • Experience using programming languages such as Python, SQL, R or similar analytical programming languages., • Experience working with data analysis and ML libraries (e.g., Pandas, Scikit-learn, or similar)., • Experience performing data exploration, feature engineering, and model validation., • Proven experience in designing and developing predictive models and data-driven analytical frameworks., • Knowledge of data security policies, including data encryption and access controls., • Experience with data governance frameworks and compliance enforcement., • Strong analytical and problem-solving skills., • Excellent communication and collaboration skills. Preferred Qualifications: • Active TS/SCI clearance., • Experience operating within Agile or SAFe frameworks supporting enterprise systems., • Experience with data engineering tools and platforms, such as Hadoop, Spark, or similar., • Experience with data visualization tools, such as Tableau or Power BI., • Experience developing and deploying machine learning and statistical models in enterprise environments., • Experience supporting analytics across multi-enclave DoD environments., • Experience working with cloud-based data and AI/ML platforms (AWS, Azure, or GCP)., • Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, or equivalent)., • Familiarity with LLMs, generative AI, or NLP techniques., • Experience supporting AI/ML model deployment and operationalization., • Experience with data catalog management and data sharing agreements., • Experience implementing model monitoring, drift detection, and continuous validation frameworks. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior Data Scientist to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Lead efforts to extract insights from operational, service, and performance data to identify opportunities for improvement. * Lead development and deployment of advanced statistical models, machine learning algorithms, and predictive analytics solutions. * Design and develop predictive models and data-driven analytical frameworks that optimize processes and support informed decision-making. * Build models that forecast future demands, highlight operational and service-related risks, and detect performance anomalies in real time. * Collaborate with engineering and functional teams to ensure analytical outputs are accurate, actionable, and aligned with mission objectives. * Design experiments, feature engineering strategies, and model validation frameworks to support enterprise analytics objectives. * Collaborate with data engineering teams to ensure scalable data pipelines supporting model training and inference. * Integrate models into DevSecOps pipelines for automated testing, validation, and production deployment. * Develop and maintain documentation, evaluation metrics, and model performance dashboards. * Ensure responsible AI practices including bias detection, explainability, and performance monitoring. * Participate in PI Planning, backlog refinement, sprint reviews, and Inspect & Adapt events to align analytics priorities with Program Increment (PI) objectives. * Translate complex analytical findings into actionable insights for technical and executive stakeholders. * Establish modeling standards, peer review processes, and analytical quality governance frameworks. * Foster a collaborative, innovative, and mission-focused analytics culture within the organization. Basic Qualifications: * Active Top Secret (TS) clearance with SCI eligibility. * Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or related technical discipline and 8-12 years of relevant experience OR Master's degree in a related field and 6-10 years of relevant experience. * Minimum of 8 years of experience in data science, data engineering, or a related field. * Strong proficiency in programming languages such as Python, R, SQL or similar analytical programming languages. * Experience with data engineering tools and platforms, such as Hadoop, Spark, or similar. * Experience developing and deploying machine learning and statistical models in enterprise environments. * Proven experience in designing and developing predictive models and data-driven analytical frameworks. * Experience performing data exploration, feature engineering, model validation, and performance tuning. * Knowledge of data security policies, including data encryption and access controls. * Experience with data governance frameworks and compliance enforcement. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. Preferred Qualifications: * Active TS/SCI clearance. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * Experience supporting analytics initiatives across NIPRNet, SIPRNet, and JWICS environments. * Experience operationalizing AI/ML models in cloud-native environments (AWS, Azure, or GCP). * Knowledge of machine learning algorithms and frameworks such as PyTorch, TensorFlow, Scikit-learn, or equivalent. * Experience implementing model monitoring, drift detection, and continuous validation frameworks. * Experience supporting enterprise data, AI/ML, or digital modernization programs within DoD environments. * Experience with cloud-based data platforms and tools, such as AWS, Azure, or Google Cloud. * Experience with data visualization tools, such as Tableau or Power BI. * Experience with data catalog management and data sharing agreements. * Strong project management skills and experience leading cross-functional teams. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 25, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Featuredjob

Description General program information and/or position overview. This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced Senior AI/ML Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success.This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Design, develop, and optimize AI and ML solutions to enhance operational and analytical capabilities within a larger enterprise level Data and AI analytics platform. * Build and maintain end-to-end ML pipelines including data ingestion, feature engineering, model training, validation, and inference. * Train and tune algorithms to improve predictive accuracy and decision-support tasks. * Integrate AI/ML models into production environments using APIs, microservices, and DevSecOps pipelines. * Support development and maintenance of model serving infrastructure and scalable inference capabilities. * Implement model monitoring, performance evaluation, and drift detection mechanisms. * Optimize model performance, scalability, and efficiency for production workloads. * Collaborate with data engineers, data scientists, software developers, and DevSecOps teams to ensure alignment with enterprise architecture and security requirements. * Support secure development and deployment of AI/ML models in compliance with enterprise cybersecurity requirements. * Contribute to development of AI/ML artifacts including documentation, testing frameworks, and model evaluation reports. * Support integration with enterprise AI/ML platforms and external model providers (e.g., cloud-based AI services). * Ensure compliance with cybersecurity policies and standards throughout the project lifecycle. * Stay updated on industry trends and advancements in AI/ML technologies. * Identify and resolve technical challenges related to model accuracy, scalability, and integration. * Analyze system performance metrics and recommend improvements for efficiency and scalability. * Identify and integrate appropriate COTS, government, and custom tools within established frameworks. * Manage project timelines and deliverables, ensuring adherence to quality standards. * Facilitate communication between technical teams and stakeholders to align project goals. * Develop and implement best practices for model development and deployment. Basic Qualifications: * Active Secret clearance. * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related technical discipline and 8-12 years of relevant experience OR Master's degree in a related field and 6-10 years of relevant experience. * Minimum of 6 years of experience in AI/ML and/or data intelligence engineering or related fields. * Experience developing and deploying machine learning models in enterprise environments. * Experience with programming languages such as Python, R, or Java and ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. * Experience building and maintaining ML pipelines and data processing workflows. * Experience deploying models in containerized environments (Docker, Kubernetes). * Experience integrating AI/ML solutions into APIs and microservices architectures. * Experience implementing model evaluation, performance tuning, and lifecycle management practices. * Experience with data pipeline construction and management. * Strong problem-solving abilities and analytical thinking. * Strong communication and interpersonal skills. * Experience in at least 2 of the following: * Developing Agentic AI solutions, including autonomous planning-execution-reflection loops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management * Generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search. * Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen * Vector databases (e.g., Pinecone, Weaviate, FAISS) * Deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes) * Preferred Qualifications: * Active Top Secret clearance. * 10+ years of experience in AI/ML and/or data intelligence engineering or related fields. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * Experience supporting AI/ML solutions across multi-enclave DoD environments. * Experience integrating AI/ML models into CI/CD and DevSecOps environments. * Experience developing and deploying AI/ML models using frameworks such as PyTorch, TensorFlow, or equivalent. * Experience working with vector databases and retrieval-augmented generation (RAG) architectures. * Experience with cloud-based AI/ML platforms (AWS, Azure, or GCP). * Experience implementing automated model validation, bias detection, and drift monitoring frameworks. * Experience integrating AI services into enterprise APIs and microservices architectures. * Experience optimizing GPU-based training and inference pipelines. * Experience supporting enterprise-scale analytics, data platforms, or AI modernization initiatives. * Experience with cloud-based AI/ML platforms and tools. * Familiarity with cybersecurity principles and practices. * Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems * Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments * Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems * Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI * Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. April 21, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced SME AI Solutions Architect Lead to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Design and implement end-to-end AI architectures that meet mission, performance, and security requirements. * Define system topology, data flows, model serving patterns, and integration points using scalable frameworks. * Select and configure AI platforms and model orchestration tools to ensure high availability and low latency. * Collaborate with software, data, and platform engineers to validate architecture decisions and optimize deployment patterns. * Ensure compliant, production-grade implementation of AI capabilities across classified and unclassified environments. * Lead a team of 8-15 direct reports, providing mentorship and guidance to enhance team performance. * Develop and maintain a System Engineering Plan (SEP) to manage all systems architecture aspects. * Conduct systems engineering activities to specify, build, and maintain system engineering designs. * Manage requirements and maintain a system requirements management environment. * Support enterprise system architecture activities to define and scope the AI solutions. * Define, document, and maintain APIs and technical standards for interoperability. * Engineer and continuously improve the underlying infrastructure of the AI platform. * Identify and integrate government, commercial, and open-source tools into the AI environment. * Design and enhance user interface (UI) and user experience (UX) components of the platform. * Implement and maintain services for production-ready AI/ML models. * Ensure cybersecurity compliance and maintain cybersecurity architecture for the AI system. * Perform site reliability engineering to maintain a reliable and efficient AI platform. Basic Qualifications: * Active Top Secret (TS) clearance with SCI eligibility. * Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related technical discipline and 8-12 years of relevant experience OR Master's degree in a related field and 6-10 years of relevant experience. * Minimum of 10 years of experience in systems engineering and AI and/or data intelligence architectures. * Experience architecting and deploying enterprise AI/ML solutions in cloud environments (AWS, Azure, or GCP). * Experience designing and delivering AI/ML solutions in enterprise cloud environments (AWS, Azure, or GCP). * Experience integrating AI/ML capabilities into production systems using APIs and microservices architectures. * Experience developing AI/ML pipelines including data preparation, model training, validation, and deployment. * Experience working across cross-functional teams to deliver integrated technical solutions. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * Experience with system architecture design and implementation in classified environments. * Experience developing Agentic AI solutions such as autonomous planning-execution-reflection loops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management) * Experience using vector databases (e.g., Pinecone, Weaviate, FAISS) * Demonstrated experience leading and mentoring technical engineering teams. * Strong understanding of AI/ML technologies and their application in enterprise environments. * Strong understanding of AI/ML frameworks (e.g., PyTorch, TensorFlow) and data engineering concepts. * Solid understanding and hands-on experience with generative AI models such as prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search. * Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen * Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes) Preferred Qualifications: * Active TS/SCI clearance. * 12+ years of experience in AI solutions architecture and systems engineering. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * SAFe Agilist (SA) or SAFe Architect certification. * Advanced cloud architecture certification (e.g., AWS Solutions Architect - Professional, Azure Solutions Architect Expert, Google Professional Cloud Architect). * Experience supporting AI solutions across multi-enclave DoD environments. * Experience implementing AI governance, model validation, and bias mitigation frameworks. * Experience integrating AI/ML solutions with enterprise data platforms and analytics environments. * Experience supporting AI/ML-enabled mission applications or decision-support systems. * Experience integrating AI/ML workloads with GPU-accelerated environments and performance optimization strategies. * Experience supporting enterprise data, analytics, and AI platform modernization initiatives. * Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems * Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments * Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems * Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI * Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency. * Familiarity with DoD standards and policies related to AI and cybersecurity. * Experience with cloud-based AI platforms and tools. * Relevant certifications in AI/ML or systems engineering If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 25, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale. Leidos Digital Modernization sector is seeking an experienced SME AI/ML Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations. In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions. You will contribute directly to product planning, execution, and continuous improvement-helping ensure capabilities are delivered efficiently, aligned to mission priorities, and positioned for sustained success. This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies. Ideal candidates are motivated by mission impact, comfortable operating in complex stakeholder environments, and interested in building deep domain expertise while delivering capabilities with real-world national security outcomes. Primary Responsibilities: * Design, develop, and optimize AI and ML solutions to enhance operational and analytical capabilities within a larger enterprise level Data and AI analytics platform. * Build and maintain data pipelines for efficient data processing and model training. * Train and tune algorithms to improve predictive accuracy and decision-support tasks. * Deploy models into production environments, ensuring reliability and performance. * Identify and integrate appropriate COTS, government, and custom tools within established frameworks. * Collaborate with cross-functional teams to ensure alignment with enterprise architecture and security requirements. * Manage project timelines and deliverables, ensuring adherence to quality standards. * Facilitate communication between technical teams and stakeholders to align project goals. * Stay updated on industry trends and advancements in AI/ML technologies. * Develop and implement best practices for model development and deployment. * Ensure compliance with cybersecurity policies and standards throughout the project lifecycle. * Participate in the Engineering Control Board process for major engineering milestones. * Analyze system performance metrics and recommend improvements for efficiency and scalability. Basic Qualifications: * Active Top Secret (TS) clearance with SCI eligibility. * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related technical discipline and 12-15 years of relevant experience OR Master's degree in a related field and 10-13 years of relevant experience. * Minimum of 10 years of experience in AI/ML and/or data intelligence engineering or related fields. * Experience developing and deploying AI/ML models using frameworks such as PyTorch, TensorFlow, or equivalent. * Experience building and integrating data pipelines to support ML workflows. * Experience deploying containerized AI workloads (e.g., Docker, Kubernetes). * Experience integrating AI/ML models into CI/CD and DevSecOps environments. * Experience implementing model evaluation, performance tuning, and lifecycle management practices. * Proven experience in designing and deploying AI/ML models in production environments. * Strong programming skills in languages such as Python, R, or Java. * Experience with data pipeline construction and management. * Excellent leadership and team management skills. * Strong problem-solving abilities and analytical thinking. * Strong communication and interpersonal skills. * Experience developing Agentic AI solutions, including autonomous planning-execution-reflectionloops, multi-agent collaboration and coordination, and tool usage patterns including API integration, retrieval-augmented generation (RAG), and memory/context management * Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search. * Working knowledge of Large Language Models (LLMs) and agent frameworks such as LangChain, LangGraph, CrewAI, A2A, MCP, or AutoGen * Experience using vector databases (e.g., Pinecone, Weaviate, FAISS) * Familiarity with deployment into virtualized and containerized environments (e.g., VMware, Docker, Kubernetes) Preferred Qualifications: * Active TS/SCI clearance. * 12+ years of experience in AI/ML and/or data intelligence engineering or related fields. * SAFe Agilist (SA) or related SAFe certification. * Experience operating within SAFe or large-scale Agile frameworks supporting enterprise systems. * Experience supporting AI/ML solutions across multi-enclave DoD environments. * Experience implementing automated model validation, bias detection, and drift monitoring frameworks. * Experience integrating AI services into enterprise APIs and microservices architectures. * Experience optimizing GPU-based training and inference pipelines. * Experience supporting enterprise-scale analytics, data platforms, or AI modernization initiatives. * Experience with cloud-based AI/ML platforms and tools. * Familiarity with cybersecurity principles and practices. * Experience in a government or defense contracting environment. * Experience designing and implementing safety, guardrails, and bias-mitigation strategies for autonomous agents and multiagent systems * Experience integrating agents with cloud-native workflows, streaming data pipelines, and real-time decision-making environments * Familiarity with evaluation and observability tools for AI agents, such as LangSmith, OpenAI Evals, or custom telemetry systems * Experience with AI service integration such as NIMS, Azure OpenAI, Bedrock, GCP Vertex AI * Hands-on GPU programming experience for ML workloads using CUDA, PyTorch, or TensorFlow, including optimization for performance and efficiency. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 10, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Agentic AI Engineer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before. We are seeking a creative and proven Agentic AI Engineer to join our dynamic team and play a crucial role in unlocking the potential of our AI models. Someone who knows how to make AI systems that do more than just generate text — they make them take action. This role focuses on building intelligent, tool-using agents that can navigate complex technical environments, identify problems, and reason about remediation paths. You will be part of a small, high-caliber team solving hard problems at the intersection of machine learning, systems, and national security. At Whitespace, we are redefining national security by pushing the limits of what is possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats. If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you! This position is 100% remote for candidates that are not located within fifty miles of the corporate office. This role requires approximately 10% travel. Remote employees will be required to travel to the corporate office in Alexandria, VA at least twice a year. This position will report directly to the Product Manager. The candidate must be a U.S. citizen and reside in the contiguous United States. You will be a W-2 employee of GeoDelphi, Inc., and we do not accept third-party applications. RESPONSIBILITIES • Architect, develop, and deploy advanced autonomous AI agents tailored for cybersecurity applications., • Define and implement intelligent agent systems capable of real-time decision-making and adaptive threat responses., • Collaborate cross-functionally with product managers, engineers, and analysts to translate innovative concepts into robust solutions., • Mentor and guide engineering teams on best practices in developing agent-based AI solutions., • Continuously evaluate, test, and enhance the capabilities and performance of agentic systems within Whitespace’s ecosystem., • Drive technical excellence and promote engineering best practices within the AI team. EXPERIENCE • A bachelor's or master’s degree in Computer Science, AI, Machine Learning, or a related field with at least 5 years of related experience. Will consider experience in lieu of a degree., • Strong proficiency in Python, with experience in relevant libraries, frameworks, and technologies such as FastAPI, asyncio, and PyTorch., • Proven experience developing in Python and deploying robust AI/ML solutions, with specific expertise in autonomous agents., • Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into practical agentic systems., • Demonstrated ability to design scalable, distributed systems and cloud-native architectures., • Extensive experience in prompt engineering and fine tuning LLM models, • Ability to design and implement agentic frameworks and architectures., • Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.), • Familiarity with MLOps principles and tools for model deployment and monitoring, • Understanding of the security implications and mitigation strategies for generative AI and agentic systems., • Excellent collaboration, mentorship, and communication skills, enabling you to collaborate effectively with distributed teams., • Familiarity with Cloud Computing Platforms, • Medical, Dental, and Vision plans, • Unlimited PTO, • Federal Holiday Paid Leave, • 12 weeks of paid Parental Leave, • Employer paid STD/LTD, • Employer Paid Life Insurance, • 401K plan and Employer Match, • Professional Development Assistance GeoDelphi, Inc. dba Whitespace is building AI solutions for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: ___. GeoDelphi, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.