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You will be part of a large community of ML engineers across the firm and collaborate with data engineers, data scientist, solutions architects, and product owners to deliver world class solutions to DoD and Federal clients. As an experienced engineer, you know that machine learning (ML) is critical

Greetings! Our client Navy Federal Credit Union is the world's largest credit union with over 10 million members, over $149 billion in assets, and over 23,000 employees. Our client is seeking an Associate Data Scientist-15721-Hybrid in Vienna, VA OR San Diego CA OR Pensacola, FL OR Winchester, VA. You seem to have a rock-solid profile and your overall background seems to be a great match for the position. Please review the below information for clarity on the position description. Description Our Digital data science department is dedicated to building predictive solutions for our mobile application and online business operations. We develop predictive tools to assist business and app developers in enhancing user experience and optimizing operational performance. We are seeking a motivated and talented entry-level data scientist to join our growing department. This role involves collaborating with senior team members, leaders, and business units to create custom solutions and data science models that provide insights into customer digital behavior, forecast mobile app and website usage trends, assess customer app store sentiment, and analyze data for actionable insights. Knowledge or insights into financial services and banking products will also be helpful in designing solutions and predictive tools to help customers improve financial management and financial health/well-being. Responsibilities • Collaborate with senior data scientists and leaders to design and implement predictive models and custom solutions that enhance our digital offerings., • Partner with business units to gather requirements, understand customer needs, and develop data science solutions that address specific business challenges., • Write efficient code in Python and SQL to manipulate and analyze data., • Design, develop, and evaluate basic/routine predictive models and algorithms with some complexity, • Utilize traditional and machine learning techniques and tools to build a variety of models, including but not limited to logistic regression, random forest, XGBoost, neural networks, NLP, k-means clustering, ARIMA, and prophet forecasting., • Analyze and interpret results with some complexity, • Exercise limited judgment and discretion within defined procedures and practices, • Develop and code basic modeling programs, algorithms, and automated processes, • Use modeling and trend analysis to analyze data, • Collaborate with team members and participate in team projects and initiatives, • Utilize effective written and verbal communication to document and present findings Qualifications • 0-2 years of experience in data science, statistics, and data analytics, • Strong programming abilities in SQL, Python, R, or similar languages in data exploration, data preparation, modeling, prediction, simulation, and statistical analysis, • Ability to use data and cloud environments such as Azure, Databricks, AWS, or Hadoop, • Experience with machine learning techniques and tools to build a variety of models, including logistic regression, XGBoost, neural networks, NLP, and clustering, • Technical writing skills, • Strong communication and data storytelling presentation skills of technical material, • Ability to collaborate and build relationships, • Desired: Bachelor’s degree in data science, statistics, mathematics, computers science, engineering, or degrees in similar quantitative fields

OGC is a boutique research and consulting agency specializing in data-driven strategy, quantitative analytics, and Customer Experience (CX) program design and optimization. We work with some of the world’s largest organizations across a variety of industries, including Financial Services, Specialty Retail, Telecommunications, Hospitality and Software, helping them to gain a deep understanding of their customers, develop actionable insights, and improve business processes. We are seeking a full-time Data Scientist to join our team. This role provides a great opportunity for a dynamic, self-starter individual to become part of a high-performing team, and implement a hands-on approach to research and consulting, in order to help our clients become more insightful, uncover opportunities to grow their businesses, and create happier end-customers. This is a full-time, remote position but will require working East Coast Hours. About the role The ideal candidate for this position is a bright, independent, detail-oriented individual, with a strong analytical and technical background, who is passionate about using data to help our clients drive strategic decisions and business improvements. You will work directly with clients and deliver consulting projects to senior stakeholders and have an opportunity to apply your strong analytical background to the Market Research and Customer Experience spaces, while working directly with global, Fortune 500 companies. Responsibilities: * Support in execution of quantitative research and consulting projects from start to finish: * Project design and preparation * Financial Modeling * Data analysis * Building insights-based reports * Client Communication and engagement including building and delivering insights-based reports * Develop data science solutions for clients and our internal team including: * Build, deploy and automate various models (classification, regression, forecasting) * Transform large volumes of data from internal and external systems in a manner suitable for analysis * Research new data sources, analytical tools, and DC methodologies * Provide an expert point of view on analytical techniques and guidance to other analysts and our sales directors * Work with our team on interdisciplinary projects using math, statistics and machine learning, to derive structure and insights from raw data across various industry sectors and help solve real world problems * Work with the team to turn complex models into user-focused visualizations * BA/BS from a top university with outstanding grades, preferably in Computer Science, Statistics, Math, Finance, or a related field. MA/MSc – an advantage * 3-5 years of experience in data analysis * Strong technical background with a high comfort level with new technologies * Excellent quantitative skills * High level and advanced Excel skills (functions, charts, sorting and pulling data by logical conditions, VBA) * Programming and BI Familiarity (e.g., Python (must), SQL, Tableau, Qlik) * Experience with a statistical package (e.g., R, STATA, SPSS) * Familiarity with CX tools (e.g., Medallia, Qualtrics) - An advantage * Experience with Conjoint studies- An advantage * Exceptional attention to details * Must speak and write English fluently and idiomatically * Ability to summarize findings and reveal patterns in data * Strong sense of design in structuring PowerPoint presentations * Capable of working both independently on projects and collaborating with a team Hybrid

Who We’re Looking For (Position Overview):Spry Methods is seeking a mission-driven Senior Data Scientist with deep expertise in Artificial Intelligence (AI) to support high-impact national security and intelligence efforts. This role is ideal for candidates who combine technical excellence in AI/ML, strategic thinking, and a commitment to public service. You’ll be driving the application of symbolic reasoning, machine learning, and adversarial modeling to national defense, cyber threat prediction, and decision support systems. If you are PhD-trained in AI, bring military, defense, or FBI experience, and are passionate about applying cutting-edge AI to the most consequential challenges of our time, we want to meet you. • Design, develop, and deploy advanced AI/ML models focused on national security, intelligence, and cyber operations., • Lead research and prototyping efforts involving symbolic reasoning, logic-based AI, temporal modeling, and hybrid systems., • Partner with investigators and mission analysts to understand operational challenges and translate them into technical AI solutions., • Leverage large-scale datasets (including unstructured data, dark web intel, and network traffic) to forecast, detect, and mitigate security threats., • Contribute to strategic technology roadmaps, federal AI policy discussions, and ethical deployment of AI in government settings., • Masters or PHD in Computer Science, Artificial Intelligence, Machine Learning, or a related field (focus on symbolic AI, logic programming, or adversarial ML strongly preferred)., • 5+ years of experience applying AI or data science in mission-critical environments, ideally in national security, defense, or intelligence sectors., • Demonstrated ability to apply machine learning and AI to cybersecurity, threat modeling, or decision-making under uncertainty., • Experience working with classified environments or prior service in a government agency (e.g., DARPA, FBI, DHS) or military branch., • Proficiency in Python, TensorFlow/PyTorch, and data engineering frameworks., • Former U.S. military officer or direct experience supporting federal R&D efforts., • Recognized contributions to AI safety, trustworthy ML, or national AI strategy (e.g., participation in federal commissions, publications, or policy frameworks)., • Founder or contributor to AI-focused research labs, startups, or think tanks advancing public-sector AI., • Recipient of awards or distinctions in AI, cyber, or defense innovation.#CJ

Title: Director of Data Science Location: Remote Clearance: Public Trust Eligibility Who We Are Rackner is a fast-growing software consultancy specializing in cloud-native solutions for startups, enterprises, and the public sector. We are passionate about solving complex problems through cutting-edge technologies, focusing on application development, DevSecOps, AI/ML, and systems architecture. Our innovation-first, cloud-first approach empowers organizations across a diverse range of industries. Position Overview Rackner is seeking an experienced and visionary Director of Data Science to lead our talented and dynamic team. In this senior leadership role, you will combine technical expertise, business acumen, and leadership capabilities to collaborate with senior stakeholders. Your focus will be to understand and define client needs in Big Data Analytics, Artificial Intelligence (AI), and Machine Learning (ML). You will ensure our Data Science team has the skills, tools, and resources to solve complex challenges, while playing a pivotal role in Rackner’s growth in AI, ML, and data-driven services. Key Responsibilities • Lead and grow a high-performing team of data scientists, ML engineers, solution architects, and data engineers, • Collaborate directly with clients to gather requirements and translate them into innovative solutions, • Develop and oversee enterprise-scale data science initiatives from ideation to deployment, • Drive adoption of best practices in statistical modeling, ML, AI development, and MLOps, • Act as a thought leader, guiding Rackner’s strategic growth in AI/ML service areas, • Mentor and develop talent across the organization, fostering innovation and continuous learning, • Manage development, testing, and production environments for the CDRH Analytics Platform, • Implement and maintain CI/CD pipelines for software and ML model deployment, • Ensure scalability, reliability, and performance of large-scale regulatory document processing systems, • Implement monitoring and alerting systems for platform performance and model drift, • Collaborate with FDA IT teams to ensure security and regulatory compliance, • Support management and planning initiatives for data science and AI projects Qualifications • Master’s or Ph.D. in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field, • 12+ years of experience in data science or a closely related field, • 8+ years designing and delivering enterprise-level data science solutions, • 5+ years managing technical teams of 10+ members Technical Proficiency • Expertise in statistical modeling, machine learning algorithms, and AI techniques, • Strong programming skills in Python and/or R; experience with pandas, NumPy, etc., • Hands-on experience with TensorFlow, PyTorch, scikit-learn, • Deep knowledge of big data technologies (Hadoop, Spark) and data warehousing solutions, • Strong experience working with AWS services (Athena, S3, Glue, SageMaker, Comprehend), • Familiarity with MLOps tools (e.g., MLflow, Kubeflow) and cloud-native deployment Project Management Expertise • Proven ability to manage large, complex projects in dynamic environments, • Practical experience with Agile/Scrum methodologies and project management tools Leadership and Soft Skills • Strong ability to mentor, motivate, and lead high-performing teams, • Exceptional communication skills with technical and executive audiences, • Strategic thinker with excellent analytical and problem-solving abilities Preferred Qualifications • Experience supporting health-related organizations (e.g., FDA, CMS, NIH, CDC, VA, Defense Health Agency), • Familiarity with workflow management tools (Kanban, Scrum), • Understanding of data challenges and regulations in the federal healthcare sector Additional Information / Benefits Rackner invests in employee development and success. Our benefits include: • 401(k) with 100% company match up to 6%, • Highly competitive Paid Time Off (PTO), • Comprehensive health insurance (Medical, Dental, Vision), • Life Insurance and Short- & Long-Term Disability coverage, • Industry-leading weekly pay schedule, • Home office and equipment reimbursement plan, • Fitness/Gym membership eligibility, • Employee swag, snacks, and company events

Ventus Executive Solutions (VES) is a small company that works in the innovation and consulting arena and hires particularly talented individuals. At VES, we prioritize our employees' well-being, fostering a workplace culture that values and supports each individual. We are dedicated to promoting mentorship and personal development, recognizing that our team's growth is integral to our collective success. We offer excellent salaries and benefits. VES is seeking a Data Scientist with an active security clearance to join our exciting team. The role offers an exciting opportunity to contribute to significant projects, leveraging advanced analytical techniques to drive data-driven decisions and innovations. This opportunity is ideal for someone with proficiency in Python, TensorFlow, and PyTorch. The Data Scientist in this role will conduct complex data analysis and processing using Python while ensuring the security and integrity of the data is in full compliance with security protocols. This person will also lead data science projects and collaborate with cross-functional teams. The ideal candidate has substantial experience in data science and machine learning, with a proven ability to apply these skills in a secure environment. The candidate should have the ability to propose innovative solutions to complex data-driven problems. The anticipated work location is in the Arlington, VA or Dahlgren, VA (we anticipate a position in each location) Travel: Infrequent 10% Required Experience Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field 3-5 years of experience in a data science role Proficiency in Python programming and extensive experience with TensorFlow and PyTorch Strong knowledge of machine learning algorithms and principles Advanced analytical skills with ability to interpret complex data. Strong communication skills with the ability to present technical concepts to non-technical audiences. Demonstrated ability to work effectively in a team and lead projects. Clearance: SECRET Desired Experience Experience working in a secure, data-sensitive environment. Experience with additional programming languages or big data tools Contributions to data science research or open-source projects VES provides our government and commercial clients with a range of professional and innovation services including: technology innovation acceleration, business consulting services, professional engineering and program oversight, and program and budget support. We support analysis and studies in a variety of areas including defense, energy and health care where we aid organizations in solving complex problems in new and innovative ways. We work with our clients to identify core issues and then put together a cost-effective world-class team to solve problems and enable our clients to create and seize opportunities. VES is a Certified Service Disabled Veteran Owned Small Business (SDVOSB) and Veteran Owned Small Business (VOSB). VES is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, marital status, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, disability status or any other characteristic protected by applicable federal, state or local laws. To find out more about Ventus, visit our website:

Data Scientist Location: Washington, DC, Chicago, IL, New York, NY About ZwillGen ZwillGen is a boutique law firm representing some of the biggest names in technology on a wide range of internet-related legal issues, including cybersecurity, privacy, government surveillance, alternative data, litigation, and fantasy sports. We offer a hardworking yet casual and collaborative work environment that sets us apart from large law firms. At ZwillGen, we have casual attire, on-site massages, snacks and beverages, an on-site gym in our DC office, and a monthly perks program. Our culture prioritizes work-life balance, mutual respect, and inclusivity, with weekly firm meetings that bring everyone together. About the Role We are looking for a data scientist to help our clients identify, design, evaluate, and monitor their AI models – from product design to deployment and all points of data collection and management. You’ll be working as part of a team including both other data scientists and lawyers to support a broad range of efforts at the intersection of technology and law. In this position, you’ll help craft technically-sound AI and data governance practices as well as test whether companies have effectively implemented model validation, bias mitigation, deidentification, and other quantitative methods of assessing AI integration into commercial products and services. Close collaboration and strong communication are central to our work, in addition to a deep understanding of the statistical and technical requirements of AI engineering. Key Responsibilities • Assess AI systems with respect to AI governance frameworks, ensuring compliance with evolving legal and regulatory standards., • Evaluate machine learning models for performance, fairness, and bias mitigation, applying quantitative methods to validate AI integration., • Conduct statistical analysis to assess AI decision-making and its compliance with ethical and legal guidelines., • Collaborate with legal teams to translate technical findings into actionable legal and policy recommendations., • Assist clients in developing and implementing deidentification techniques to enhance data privacy., • Stay up to date with emerging trends in AI regulation, model auditing, red teaming, and data security. Qualifications & Experience • Master’s or Ph.D. in Data Science, Statistics, Computer Science, AI, or a related field., • Strong expertise in machine learning, statistical analysis, and algorithmic bias detection., • Experience with AI model development, validation, explainability, and risk mitigation techniques, including for large language models (LLMs)., • Strong proficiency in Python data science stack (e.g., NumPy, Pandas, scikit-learn) for quantitative analysis and experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.)., • Excellent communication skills with the ability to work collaboratively across technical and legal teams., • Hands-on experience training or fine-tuning LLMs using libraries like PyTorch or TensorFlow., • Experience with LLM evaluation, prompt engineering, and explainability techniques., • Familiarity with bias and fairness-related testing methodology (for both predictive and generative AI), including relevant metrics and benchmarks., • Direct experience with conducting AI system audits, AI red teaming, or other adversarial testing., • The ability to balance independent work and close collaboration; strong initiative and creative approaches to new situations and challenges is a plus., • Familiarity with legal and ethical AI principles, including GDPR, CCPA, and emerging AI regulations. Compensation & Benefits ZwillGen is committed to pay transparency in accordance with applicable wage laws. The salary range for this position is $110,000 – $160,000 annually, based on qualifications, skills, and level of experience. We offer a comprehensive benefits package, including: • Medical, dental, and vision insurance, • 401(k) retirement plan, • Paid time off and parental leave, • Short-term and long-term disability coverage, • Eligibility for the firm’s Perks! fringe benefit program

KSA Integration is a Service-Disabled Veteran-Owned Small Business (SDVOSB) that provides business and management solutions through three core capabilities: (1) data analytics, (2) comprehensive veterans support, and (3) business process improvement. We are a rapidly growing government contractor that has built a reputation on focused customer service, on-time performance, and continuous improvement. To demonstrate this, KSA was awarded the 2019 - 2023 Inc. Best Workplaces, a prestigious list of businesses recognized for value placed on company culture, standout worker benefits, and the prioritization of employee well-being. KSA also received a spot on both the 2020, 2021, 2022, and 2023 Best for Vets List by Military Times in addition to winning the 2021, 2022, and 2023 Department of Labor “Hire Vets” Platinum Medallion Award. Position Overview: The Senior Data Scientist supports the Program Management and Data Analysis (PMDA) Support Services for the U.S. Customs and Border Protection (CBP). This role will work to apply advanced analytics and machine learning to CBP datasets, enabling predictive insights and operational efficiencies. Must have Top Secret Clearance or SCI Eligibility This Position is Contingent Upon Award Benefits: · Medical, Dental, Vision (82% of employee’s premium paid by company, 25% towards dependents) · HSA / FSA Medical Plans · PTO · Flexible Work Environment and Encourage Work/Life Balance · 401K with Company Match · Observes all federal holidays · Professional Development/Tuition Reimbursement Program · Annual Career Development Process Job Type: Full-time/Exempt Location: Government Site - Washington, DC 20229-1051 Telework: May be authorized if approved by the COR/ACOR or APM. Anticipated Start Date: 09/30/2025 Position Responsibilities: • Develop predictive models and algorithms, • Apply machine learning to investigative data, • Support decision-making with data-driven insights, • Bachelor’s degree in mathematics, statistics, engineering, the sciences, or a related field of study, • 8 years specialized experience; or ten 10, • Proficiency in Python, R, or similar tools, • Experience with federal or law enforcement data

The Data Scientist will play a crucial role in analyzing complex datasets and developing machine learning, data mining, statistical, and graph-based algorithms. You will be responsible for prototyping algorithms, generating data, creating reports, and partnering with subject matter experts to automate analytics. This position offers the opportunity to work on challenging problems alongside an experienced team while gaining valuable consulting experience in analytics. Company Culture and Environment The company fosters a collaborative environment where analytics is central to decision-making. Team members enjoy a variety of projects across different sectors, reflecting a dynamic and engaging workplace. Building lasting relationships with clients is a priority, emphasizing trust and partnership. Career Growth and Development Opportunities Joining our team provides ample opportunities to enhance your analytic skills and advance your career in data science. You will gain exposure to a wide range of techniques and tools, benefiting from a culture of continuous learning and development. Detailed Benefits and Perks • Opportunities for professional growth and mentorship, • Collaborative work environment with skilled teammates, • Competitive salary based on experience, • Health, dental, and vision insurance, • Retirement savings plan This is an exceptional opportunity to work within a leading Data Science consulting firm. If you are passionate about analytics and looking to tackle challenging problems that impact various industries, this role will allow you to make a significant contribution while enhancing your skills. Skills • Programming experience with data analysis software such as R, Python, SAS, or MATLAB, • Ability to develop experiments to collect or simulate data, • Experience in developing feature vectors for machine learning algorithms, • Proficiency in identifying appropriate algorithms and tuning parameters, • Strong evaluation skills using standard metrics (e.g., cross-validation, ROC curves), • Leadership in guiding analytic development processes, • Collaboration with software engineers to develop production analytics, • Develop machine learning, data mining, statistical, and graph-based algorithms, • Prototype algorithms and build models or experiments, • Generate reports and visualizations providing data-driven insights, • Partner with subject matter experts to automate analytics, • Bachelors degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) + 7 years of experience, Masters Degree + 5 years of experience, or PhD + 2 years of experience, • Bachelors degree in a quantitative discipline McLean offers a prime location with access to a vibrant tech community, diverse career opportunities, and a rich cultural landscape. The area is known for its strong economy and proximity to Washington, D.C., providing a unique blend of professional and personal experiences. Employment Type: Full-Time Education Level: Bachelor's degree Required Knowledge, Skills, and Abilities: (Hiring Companies ATS Questions): 1. Do you have a Bachelor Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experience, Masters Degree + 5 years of experience, or PhD + 2 years of experience 2. Do you have a Active TS/SCI security clearance with the full scope Polygraph required 3. Do you have programming experience with data analysis software such as R, Python, SAS, or MATLAB., 4. Do you have developed experiments to collect data or models to simulate data when required data are unavailable., 5. Do you have developed feature vectors for input into machine learning algorithms., 6. Do you have Identified the most appropriate algorithm for a given dataset and tune input and model parameters., 7. Do you have evaluated and validated the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)., 8. Have you overseen the development of individual analytic efforts and guide team in analytic development process., 9. Must be a US Citizen or Green Card holder.

Blend is seeking an experienced Machine Learning Engineer with deep expertise in AWS-based ML pipelines, MLOps best practices, and infrastructure-as-code. This role is focused entirely on pipeline engineering and infrastructure optimization — no model training or research — and will play a critical part in refactoring mature ML systems to support upcoming business initiatives. The engineer will work closely with cross-functional data science, data engineering, and platform engineering teams to refactor, migrate, and scale production-grade ML pipelines that power recommender systems and lower-priority NLP applications. The ideal candidate will be comfortable with large-scale AWS-native environments, feature store integrations, and high-performance CI/CD workflows for ML. * Pipeline Refactoring & Optimization * Redesign and refactor existing ML pipelines to improve scalability, maintainability, and operational efficiency. * Migrate pipelines to accommodate new input datasets that will drive updated models. * Ensure pipelines can handle both batch and streaming workloads. Feature Store Integration * Work with Tecton to manage and serve online/offline features for ML models. * Migrate legacy feature ingestion and retrieval processes to Tecton. AWS Cloud Engineering & Automation * Develop and manage infrastructure using AWS CloudFormation and other IaC tools. * Leverage AWS services such as SageMaker, Lambda, ECR, S3, and DynamoDB for ML workflows. MLOps & CI/CD * Implement and maintain deployment pipelines using AWS CodePipeline. * Ensure seamless integration of ML workflows with SageMaker for training, inference, and monitoring. * Apply robust testing strategies, code coverage, and quality controls to all ML pipeline code. Data Engineering Support * Integrate ML pipelines with Snowflake, S3, and DynamoDB data sources. * Optimize data ingestion, transformation, and delivery to production models. Technical Debt & Migration Projects * Identify and remediate technical debt in ML infrastructure. * Support migration of existing code to align with new feature store and data input requirements. Professional Experience: * 5+ years of hands-on ML engineering experience (7+ preferred). * Proven success in AWS-based ML pipeline engineering at scale. Core Technical Skills: * AWS SageMaker, CloudFormation, Lambda, ECR, S3, DynamoDB. * Python for pipeline development, automation, and integration. * Snowflake data integration and optimization. * CI/CD in AWS CodePipeline for ML workflows. * MLOps best practices for production-grade pipelines. Domain Expertise: * Experience with recommender systems (primary use case). * Familiarity with NLP applications (secondary focus). * Strong understanding of batch and streaming ML pipeline architectures. Soft Skills: * Ability to work independently on complex refactoring and migration projects. * Excellent collaboration skills with cross-functional teams. * Strong problem-solving and documentation capabilities. The ML platform supports critical personalization, recommendation capabilities, loyalty programs, and operational optimization. The current ML infrastructure is mature but requires strategic refactoring and migration to handle upcoming product demands. The primary focus for this role will be: * Refactoring recommender system pipelines to incorporate new feature inputs from additional data sources. * Migrating select pipelines to use Tecton as the centralized feature store, replacing legacy feature engineering paths. * Ensuring pipelines can operate efficiently in both batch and streaming contexts. * Maintaining full AWS-native deployments with no hybrid/on-prem dependencies. Secondary projects may involve enhancing NLP-related pipelines, optimizing infrastructure automation, and addressing technical debt across existing ML codebases. This is a critical, high-impact engineering role that will directly shape the company’s ability to deploy faster, more reliable, and more intelligent ML-powered features at scale.

As Sr. AI/ML Engineer II, you’ll support a large data project alongside an agile team of developers, data engineers, and other technologists supporting a highly cleared customer for future needs. We know that you can’t have great ___ without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you’ll do: • You'll analyze complex datasets to assess performance or find new patterns, • You'll build, train, operationalize and maintain AI/ML models in production, • You'll apply machine learning techniques to data sets related to immigration, • You'll present results to a diverse audience in presentation or report form, • You'll support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements, • You’ll support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas What you'll need to succeed: • Minimum 7 years experience, • Bachelor's degree or equivalent experience, • Active TS/SCI w/ CI Poly Clearance, • You have experience using open-source models to the largest extent possible or provide a comparable analysis and justification for using proprietary models, • Strong experience with one or more of the following AI/ML methods: Generative AI/LLMs, NLP, RAG, and neural networks., • At least 5 years experience with one or more of the following technologies: Python, R, Anaconda, Numpy, TensorFlow, Keras, SciKit-Learn, and Postgres, • You have at least 5 years experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, able to maintain the AI/ML models through user stories and DevSecOps CI/CD pipeline including any optimization and evaluation of alternatives, • Strong experience designing, developing, and deploying AI/ML solutions into classified AWS cloud environments at IL6+., • You have the ability to perform data analytics on program related or system related activities. This will include assessing performance and manual processes implementing methods/algorithms to automate and optimize SALARY RANGE: $161,000 - $237,000 The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: • The candidate's professional background and relevant work experience, • The specific responsibilities of the role and organizational needs, • Internal equity and alignment with current team compensation, • This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:, • Performance-based bonuses, • Company-paid training and/or certifications, • Referral bonuses To apply for this position, please submit your resume via the form below or through our careers page: ___To apply for this position, please submit your resume via the form below or through our careers page: Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration. Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance. Benefits: All full-time employees are eligible to participate in our benefits programs: • Health, dental, and vision insurance, • 401(k) retirement plan with company match, • Paid time off (PTO) and holidays, • Parental Leave and dependent care, • Flexible work arrangements, • Professional development opportunities, • Employee assistance and wellness programs Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company ___and ___. Plus, check out our ___ Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company and . Plus, check out our Commitment to Non-Discrimination All qualified applicants will receive consideration for employment based on merit and 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, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. What we want you to know: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Not ready to apply now? Sign up to join our newsletter ___.

As Sr. AI/ML Engineer III, you’ll support a large data project alongside an agile team of developers, data engineers, supporting a highly cleared customer. We know that you can’t have great ___ without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers. If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you’ll do: • You'll analyze complex datasets to assess performance or find new patterns, • You'll build, train, operationalize and maintain AI/ML models in production, • You'll apply machine learning techniques to data sets related to immigration, • You'll present results to a diverse audience in presentation or report form, • You'll support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements, • You’ll support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas What you’ll need to succeed: • Minimum 10 years experience, • Bachelor's degree or equivalent experience, • Active TS/SCI CI Clearance, • You have extensive experience using open-source models to the largest extent possible or provide a comparable analysis and justification for using proprietary models, • Expert experience with at least two of following AI/ML methods: Generative AI/LLMs, NLP, RAG, and neural networks., • At least 8 years experience with at least two following technologies: Python, R, Anaconda, Numpy, TensorFlow, Keras, SciKit-Learn, and Postgres, • You have at least 8 years experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, able to maintain the AI/ML models through user stories and DevSecOps CI/CD pipeline including any optimization and evaluation of alternatives, • Expert experience designing, developing, and deploying AI/ML solutions into classified AWS cloud environments at IL6+.You have the ability to perform data analytics on program related or system related activities., • This will include assessing performance and manual processes implementing methods/algorithms to automate and optimize, • Strong experience with designing, developing, and deploying containerized AI/ML solutions SALARY RANGE: $188,000 - $276,000 The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including: • The candidate's professional background and relevant work experience, • The specific responsibilities of the role and organizational needs, • Internal equity and alignment with current team compensation, • This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:, • Performance-based bonuses, • Company-paid training and/or certifications, • Referral bonuses To apply for this position, please submit your resume via the form below or through our careers page: ___To apply for this position, please submit your resume via the form below or through our careers page: Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration. Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance. Benefits: All full-time employees are eligible to participate in our benefits programs: • Health, dental, and vision insurance, • 401(k) retirement plan with company match, • Paid time off (PTO) and holidays, • Parental Leave and dependent care, • Flexible work arrangements, • Professional development opportunities, • Employee assistance and wellness programs Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company ___and ___. Plus, check out our ___ Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company and . Plus, check out our Commitment to Non-Discrimination All qualified applicants will receive consideration for employment based on merit and 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, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. What we want you to know: In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Not ready to apply now? Sign up to join our newsletter ___.

Benefits: • 401(k), • Dental insurance, • Health insurance, • Paid time off, • Vision insurance Job title: SCA Cybersecurity Engineer/Architect Lead (AI/Automation) Location / Work type: Remote/Full-Time Clearance: Must be able to get a Public Trust About the Company: Imagineeer is leading the charge in data transformation, impacting sectors from healthcare to government operations, green energy, supply chain, and sports. Leveraging cutting-edge technologies like AI, post-quantum security, and blockchain, we empower decision-makers and fortify data security. We specialize in federal agency modernization; we collaborate closely to transform operational ecosystems, addressing unique challenges with acquisition support and stakeholder communication. Imagine Lab, our digital think tank, explores innovation through employee engagement and machine-generated insights. If you're passionate about reimagining operations and empowering organizations to evolve proactively, join us in shaping the future. About this Role: We are seeking a highly skilled Cybersecurity Engineer/Architect Lead specializing in Security Control Assessments (SCA) with a focus on AI/Automation to lead the transformation of security assessment capabilities for our federal government clients. This senior-level role combines deep expertise in cybersecurity, risk management, and security control assessments (SCA) with advanced knowledge of artificial intelligence (AI), machine learning (ML), and automation technologies. The ideal candidate will drive the modernization of traditional SCA processes, leveraging cutting-edge technologies to improve efficiency, accuracy, and compliance with federal security requirements such as NIST RMF, FISMA, and FedRAMP. Key Responsibilities: * Design and implement AI-driven security assessment frameworks to automate control validation and risk assessments. • Lead the development of automated security control testing capabilities that integrate with compliance tools and frameworks., • Architect robust solutions for continuous security monitoring and assessment, enabling real-time visibility into system compliance., • Drive the modernization of SCA processes by integrating AI, ML, and automation technologies while ensuring compliance with federal mandates., • Develop and deploy automated reporting solutions for real-time compliance dashboards and security metrics., • Lead the implementation of machine learning models to enhance security control validation, anomaly detection, and predictive risk analysis., • Manage and mentor technical teams performing security control assessments, automation development, and tool integration., • Develop innovative methodologies for automated evidence collection, validation, and documentation., • Create automated workflows for security assessment lifecycle processes, including POA&M tracking and system authorization documentation., • Establish and monitor key performance indicators (KPIs) and metrics to measure the efficiency and effectiveness of automated SCA processes., • Collaborate with stakeholders, including system owners, security teams, and compliance officials, to align automation initiatives with operational and regulatory requirements., • Provide technical leadership, project oversight, and subject matter expertise on both security architecture and automation strategies., • Architect and implement custom assessment tools, scripts, and platforms to support large-scale compliance programs., • Maintain adherence to federal cybersecurity frameworks, including NIST SP 800-53, RMF, FISMA, and FedRAMP, while innovating on process automation. Qualifications and Skills: • Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Information Systems, or a related field. 10+ years of professional experience in cybersecurity, including security architecture and risk management. * 5+ years of direct experience in Security Control Assessments (SCA) supporting federal systems. * 3+ years of hands-on experience developing and implementing AI/ML and automation solutions for security or compliance processes. • Extensive experience working with federal security compliance frameworks, including NIST RMF, FISMA, and FedRAMP., • Ability to obtain and maintain a Public Trust clearance. Expert knowledge of NIST SP 800-53, RMF processes, and federal cybersecurity standards. • Hands-on experience with security automation tools, orchestration platforms, and compliance technologies., • Strong proficiency in AI/ML technologies, including frameworks such as TensorFlow, PyTorch, Scikit-learn, or equivalent., • Advanced knowledge of security testing methodologies, vulnerability management, and control validation., • Programming proficiency in Python, Java, PowerShell, or equivalent for automation development., • Experience with security orchestration, automation, and response (SOAR) platforms and tools., • Deep understanding of federal security compliance requirements and processes for ATO and continuous monitoring., • Expertise in security architecture design, including automation, cloud security, and zero trust implementations., • Knowledge of DevSecOps practices, CI/CD pipelines, and integrating security into automated development processes., • Experience conducting cloud security assessments in environments such as AWS, Azure, or GCP., • Strong project management skills, with experience leading technical teams and managing complex cybersecurity initiatives., • Excellent technical writing and documentation skills, capable of producing assessment reports, authorization packages, and technical architectures., • Exceptional communication skills, with the ability to translate technical concepts to both technical and non-technical audiences., • Demonstrated leadership and mentoring skills, with the ability to guide junior engineers and cross-functional teams. Desired Skills and Competencies: • Cybersecurity certifications such as CISSP, CISA, CISM, CAP, or equivalent., • Experience with TensorFlow, PyTorch, or other advanced ML tools for security analytics., • Knowledge of FedRAMP, CMMC, and other government-specific compliance processes., • Expertise in automated security testing tools (e.g., Nessus, OpenSCAP, Burp Suite automation)., • Background in federal government contracting with experience supporting large-scale assessment programs., • Knowledge of privacy frameworks, data protection laws, and related security controls., • Familiarity with blockchain security concepts and emerging technologies., • Experience with security compliance automation platforms like Xacta, eMASS automation, or Drata., • Public speaking skills for presenting technical solutions and strategy to executives or stakeholders., • Experience developing or contributing to security tools, automation frameworks, or open-source security projects., • Background in system authorization processes, including continuous ATO (cATO) models., • Familiarity with quantum-safe encryption concepts and emerging cybersecurity technologies., • Experience in running large-scale cybersecurity assessment programs across diverse technical environments. Additional Information: This is a remote position, with occasional virtual or in-person meetings based on client requirements. Must be a U.S. Citizen capable of obtaining a Public Trust clearance. This is a remote position. Compensation: $125,000.00 - $135,000.00 per year Our Approach We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence. We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments. Our Mission Imagineeer's mission is to empower transformation through the operationalization of intuition. We establish an innovation pipeline, reimagining operations by delving into data analysis to optimize outcomes for our valued customers. Collaborating closely with our clients, we strive to actualize the inherent genius embedded within their organizational structure. Our efforts focus on the transformation of organizations, emphasizing the development of foundational strengths in key areas, including data, personnel, hypothesis development, and the cultivation of a learning-from-failure mindset.

Position Title: Data Scientist – Transit Data Focus Justification: To manage and analyze customer databases, AVA (automated voice announcement), and schedule data for predictive maintenance and service planning. Experience Level: 3-5 years Job Responsibilities: • Collect, process, and analyze transit-related datasets including customer databases, AVA (automated voice announcement) logs, real-time vehicle data, and schedule data., • Develop predictive models and data-driven insights to support maintenance forecasting, service planning, and operational optimization., • Design and implement data pipelines to integrate, clean, and transform large, heterogeneous transit data sources., • Perform statistical analysis and machine learning to identify patterns, trends, and anomalies relevant to transit service performance and reliability., • Collaborate with transit planners, maintenance teams, and IT staff to translate data insights into actionable business strategies., • Monitor data quality and integrity; implement data validation and cleansing processes.Technical Skills & Qualifications:, • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Transportation Engineering, or a related quantitative field., • 3-5 years of experience working as a data scientist or data analyst, preferably in a transit, transportation, or public sector environment., • Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning., • Experience with SQL for database querying, manipulation, and data extraction., • Familiarity with transit data standards such as GTFS, AVL/CAD, APC (Automated Passenger Counters), and AVA systems., • Experience with data visualization tools such as Power BI, or equivalent.

20250408-2412-01 (Salary is commensurate with education and experience) The office conducts high profile and short fuse data science and targeting requirements on a priority mission. The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The Sponsor requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines. This job requires an existing Top Secret Clearance and Polygraph. • The Team shall work closely with other teams, including data science and programming teams within the Sponsor’s broader mission component. The Sponsor project manager will manage the priorities, with The Team working to implement those priorities., • The Team shall take the Sponsor’s mission needs and convert those into technical milestones consistent with the Sponsor’s data science requirements., • The Team shall develop and manage data processing ETL pipelines., • The Team shall provide ad hoc trainings to Sponsor’s data users on custom tools and data exploitation consist stent with established use cases., • The Team shall use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches., • The Team shall identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows., • The Team shall identify existing or emerging data science workflows within the Sponsor’s broader office that would accelerate the Sponsor’s data science mission., • The Team shall leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor’s technical goals for data management., • The Team shall anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor’s direction., • Citizenship: Must Be a US Citizen, • Existing Clearance Required: Active Top Secret SCI with Poly, • Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar., • Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows., • Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries., • Demonstrated experience with a range of Python packages and graph databases., • Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity., • Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.Optional Skills, • Demonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production., • Demonstrated experience leading complex data science teams., • Demonstrated experience with machine learning solutions., • Demonstrated experience working with foreign and domestic partners of the Sponsor., • Demonstrated experience writing custom algorithms for data exploitation., • Demonstrated experience with complex graph database queries., • Demonstrated experience working in high operational tempo environments. Our comprehensive benefits package includes Medical, Dental, Vision, Health Savings Account, Paid Time Off, Holidays, Social Events, Employee Assistance Program, Team Building Activities, 401K, Tuition Assistance, and more. Contact Us: Main Number: 1-888-663-2690 | ___ | ___ Contact Us: Main Number: 1-888-663-2690 | | Dezign Concepts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Telecoms Data Scientist We are seeking a qualified Telecoms Data Scientist to play a crucial role in analyzing large datasets relating to telecommunications network performance, user behavior, and network optimization. Expertise in 5G Wireless communication is preferred. In this role you will… • Collect, preprocess, and analyze large volumes of telecommunications data, including network logs, RF spectrum measurements, and environmental sensor data., • Clean, transform, and organize raw data to prepare it for analysis, ensuring data integrity and quality., • Conduct exploratory data analysis to uncover insights and trends related to RF spectrum utilization, network performance, and environmental factors., • Develop statistical models and machine learning algorithms to extract actionable insights and optimize RF spectrum usage., • Collaborate with cross-functional teams, including RF engineers, software developers, and product managers, to translate data-driven insights into innovative solutions., • Design and implement algorithms for RF interference detection, mitigation, and localization, contributing to the enhancement of RF environmental awareness capabilities., • Stay abreast of the latest advancements in telecommunications, RF spectrum management, and data science techniques, incorporating new methodologies and technologies into our analytical workflows.The ideal candidate would possess…, • Master’s or Doctorate degree in Computer Science, Data Science Electrical Engineering, Statistics, or a related field., • Proven experience as a Data Scientist or similar role, with a focus on analyzing telecommunications data., • Strong background in RF communication principles, wireless networking technologies, and RF spectrum management., • Expertise in data analysis, statistical modeling, and machine learning techniques, with proficiency in Python, R, or other programming languages., • Experience working with large-scale datasets and distributed computing frameworks., • Familiarity with telecommunications network performance measurement tools and protocols., • Excellent analytical, problem-solving, and critical-thinking skills., • Strong communication and collaboration abilities, with the ability to present complex findings clearly and concisely. Located minutes away from both the Beltway and the Tysons Corner Metro Stop, our headquarters are easily accessible by the Silver Line. Our comfortable office spaces are complemented by gourmet dining facilities, gym space, and free parking. Join us at DGS and be part of a pioneering team shaping the wireless landscape of tomorrow. Check our ___out for more information!

Range is creating AI-powered solutions to eliminate financial complexity for our members. We’re transforming wealth management through the perfect blend of cutting-edge technology and human expertise. We’re obsessed with member experience! We’ve built an integrated platform that tackles the full spectrum of financial needs–investments, taxes, retirement planning, and estate management–all unified in one intuitive system. Backed by Google's Gradient Ventures and Cathay Innovations, we're in hyper-growth mode and looking for exceptional talent to join our starting lineup. Every Ranger at this stage is shaping our culture and way of life—from former CEOs and startup founders to experts from leading hedge funds and tech companies. If you're ready to build something that truly matters in financial services, bring your talent to Range. Here, you'll make a genuine impact on how people manage their financial lives while working alongside a team that celebrates wins, makes big decisions, and blazes new trails together About the role Range is hiring for an AI Engineer to accelerate our best-in-class AI system that delivers and automates financial products and solutions across the entire wealth management spectrum. This engineer will work with our AI team to both build and strategically influence the technology that ultimately powers Range’s disruptive platform. The ideal candidate has experience designing and deploying production-grade AI systems that are reliable, scalable, and aligned with real-world customer needs. As an AI engineer, you will lead efforts across the entire AI ecosystem—from data strategy and model fine tuning to deployment and monitoring—while working closely with product and engineering teams. You will help define our AI roadmap, set technical direction, and build systems that are both technically robust and grounded in our product philosophy. You will also collaborate with other technical leaders to elevate the company’s AI and engineering standards. We're excited to hire this role at Range's Headquarters in McLean, VA, or one of our hub locations in New York City, or Seattle. All of our positions follow an in-office schedule Monday through Friday, allowing you to collaborate directly with the team. If you're not currently based in one of these areas but love what you see, let’s discuss relocation options as part of your journey to joining us. What you’ll do with us * Improve the accuracy, reliability, and sophistication of our AI-generated responses by iterating on models, prompts, and evaluation frameworks * Partner with product and engineering teams to design and develop new AI-first features that help users make better financial decisions * Help shape our data strategy, including how we collect, label, and leverage structured and unstructured data to train and evaluate models * Bring modern best practices in applied AI and machine learning to the team, and help us stay at the frontier as the AI landscape evolves What will set you apart * Hands-on experience with modern LLMs and a strong perspective on their strengths, weaknesses, and evolving capabilities * Experience building production AI features such as retrieval-augmented generation (RAG), autonomous agents, user-facing chat interfaces, or task automation systems * Deep understanding of prompt engineering, evaluation techniques, vector databases, and orchestration frameworks like LangChain * Familiarity with fine-tuning, embedding models, and techniques to ground AI outputs in proprietary or financial datasets * Fluency with AWS services including EC2, ECS, RDS, DynamoDB, S3, and CloudWatch—or equivalent cloud platforms * Strong product sense: you’re motivated by helping users get smarter, faster answers—not just pushing the boundaries of ML for its own sake * Proven ability to tackle ambiguous problems, work independently, and bring structure to chaos in a fast-moving startup environment * Bonus points for experience with security, regulated industries like fintech, or building AI systems that meet compliance and reliability standards Benefits * Health & Wellness: 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage * 401(k): Retirement savings program to support your future * Paid Time Off: time to reset and recharge + most federal holidays * Parental Leave: Comprehensive leave policy for growing families * Meals: Select meals covered throughout the week * Fitness: Monthly movement stipend * Equity & Career Growth: Early exercise eligibility and a strong focus on professional development * Annual Compensation Reviews: Salary and equity refreshes based on performance * Boomerang Program: After two years at Range, you can take time away to start your own company. We’ll hold your spot for 6 months - and pause your equity vesting, which resumes if you return Range is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve.

Task Force Talent is seeking senior machine learning engineers (possibly multiple openings for strong candidates) for a very well-funded Series B company working on insider threat and supply chain security problems. We have an extremely good relationship with this client and work directly with the CTO, who has started several companies and had multiple successful exits, including an IPO. We have placed quite a few engineers at this firm over the last year, and everyone we have placed is extremely happy. (Even those who did not get an offer were left with very positive impressions.) Target salary range is 120k to 200k+ + equity, depending on experience level and location. (Note: At $170k base salary or above, generally candidates need 5+ years of experience and a very strong interview.) The company is profitable and growing fast with approximately 100+ employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT. The work environment is hybrid, typically 3 days/week in the office so people know each other, but those hours are flexible to accommodate family/childcare and traffic. The benefits are great and include: • Company Equity Options and 401(k) Plan, • Unlimited PTO and Wellness Reimbursement, • U.S. Holidays, • Paid Parental Leave If you apply but this company is not a fit, we will consider you for other available positions as well. Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: ___ (Terms and conditions apply.) About us: Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium size government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you! If you don't see the perfect fit, simply use our general application at: ___ If you don't see the perfect fit, simply use our general application at: Qualifications • U.S. Citizen, • Any scientific or engineering background with strong AI/ML and software skills and experience, • Comfortable and experienced with coding (Python, Java, C#, etc.), MLOps tools and practices, and Elastic Search, • Experience with cloud-native solutions (AWS/Azure) to implement ML models, • Knowledge of ML frameworks (PyTorch, Scikit-Learn, Tensorflow, etc.), • Experience with NLP techniques (tokenization, entity extraction, BERT and GPT language models, etc.), • Solid understanding of algorithms, data structures, and the whole natural language processing for ML solutions (data exploration, model building, performance evaluation/testing, development, etc.), • Minimum 5 years experience with focus on AI/ML and NLP, • BONUS: Foreign language fluency, particularly languages associated with threat actors Interview Process This company typically has a phone screen, followed by a take-home coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks.

Job Summary Our client is a well known consulting firm that specializes in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools Summary of Position: You will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, tensorflow, pytorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers. This position will be part of our Defense and Intelligence Team serving the Intelligence Community as our primary customer. Essential Functions: · Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills. · Sound judgment and creative problem solving and independent working skills. · Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia). · Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders. · The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations. · Technical understanding of the systems supporting aspects of the functional areas. · Knowledge of standard tools [e.g., the Sponsors various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves. · Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized. Job Specifications/Requirements: Must have: • Active TS/SCI security clearance with the Polygraph required (Full Scope is preferred), • Bachelors degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience., • Data Science experience, • Python and/or R, • Machine Learning/Computer Vision/Object Detection, • Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement, • Masters degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience, • Bachelors degree in a technical field (computer science, mathematics, statistics etc) Desired Skills: · Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement · Masters degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience · Bachelors degree in a technical field (computer science, mathematics, statistics etc)

Our client is seeking a talented and motivated Data Scientist to join their Defense and Intelligence Team, working within the Intelligence Community. This role offers the chance to apply cutting-edge research, develop advanced models, and solve complex challenges in a dynamic and evolving data environment. As part of this team, you will develop and implement innovative analytic solutions, integrate diverse datasets, and enhance tradecraft techniques. Leveraging tools like Python, TensorFlow, PyTorch, and other state-of-the-art software, you will contribute to impactful projects that address real-world intelligence questions. • Design and train advanced models for object detection and data integration., • Consolidate data from diverse sources into coherent and functional databases., • Fine-tune models to meet intelligence-specific objectives., • Document findings and methodologies clearly for decision-makers., • Collaborate with Government, industry, and academic stakeholders to achieve impactful outcomes., • Active TS/SCI security clearance with the required Polygraph., • Bachelors degree in a technical field (Computer Science, Mathematics, Statistics, etc.) and 3 years of relevant experience., • Proficiency in Data Science, Python, and/or R., • Familiarity with PyTorch, Keras, and overhead imagery., • Masters degree in a technical field with at least 1 year of relevant experience. Compensation: $150,000 - $180,000

3 YEARS OF EXPERIENCE Clearance Required: TS/SCI with Poly (Full Scope is preferred)This position requires US Citizenship.Max salary is $185k Job Summary Our client is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients environment and needs. Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience. Summary of Position: You will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, tensorflow, pytorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers. This position will be part of our Defense and Intelligence Team serving the Intelligence Community as our primary customer. Essential Functions: · Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills. · Sound judgment and creative problem solving and independent working skills. · Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia). · Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders. · The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations. · Technical understanding of the systems supporting aspects of the functional areas. · Knowledge of standard tools [e.g., the Sponsors various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves. · Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized. Job Specifications/Requirements: · Active TS/SCI security clearance with the required Polygraph· Bachelors degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience.· Data Science experience· Python and/or R· Machine Learning/Computer Vision/Object Detection Desired Skills: · Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement· Masters degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience· Bachelors degree in a technical field (computer science, mathematics, statistics etc)

Summary of Position: You will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, tensorflow, pytorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers. This position will be part of our Defense and Intelligence Team serving the Intelligence Community as our primary customer. Essential Functions: · Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills. · Sound judgment and creative problem solving and independent working skills. · Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia). · Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders. · The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations. · Technical understanding of the systems supporting aspects of the functional areas. · Knowledge of standard tools [e.g., the Sponsors various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves. · Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized. Job Specifications/Requirements: · Active TS/SCI security clearance with the required Polygraph · Bachelors degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience. · Data Science experience · Python and/or R · Machine Learning/Computer Vision/Object Detection Desired Skills: · Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement · Masters degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience · Bachelors degree in a technical field (computer science, mathematics, statistics etc) Must have: • Active TS/SCI security clearance with the Polygraph required (Full Scope is preferred), • Bachelor’s degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience., • Data Science experience, • Python and/or R, • Machine Learning/Computer Vision/Object Detection, • Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement, • Master’s degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience, • Bachelor’s degree in a technical field (computer science, mathematics, statistics etc)

Responsibility: • Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc., • Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends., • Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects., • Research and evaluate emerging technologies., • Develop data science solutions based on tools and cloud computing infrastructure., • Bachelor’s degree in computer science, mathematics, physics, statistics, or related field., • Strong experience with applying expertise in model design, training, validation, and monitoring., • Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks., • Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis., • Experience with cloud computing infrastructure., • Advanced SQL skills., • Experience with data visualization concepts and tools., • Ability to convey complex business problems to technical solutions., • Ability to work individually, and as part of a team., • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management. Desired: • Advanced degree in in computer science, mathematics, physics, statistics, or related field., • Experience with Natural Language Processing., • Experience with deep learning framework and infrastructure like TensorFlow or PyTorch., • Experience and/or willing to learn techniques in Large Language Models (LLMs) and Generative AI., • A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA., • Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases., • Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.

The Program Development, Coordination, and Support Directorate is responsible for the design, coordination, and management of OBO’s construction and renovation programs. The Department of State (DOS), Bureau of Overseas Buildings Operations, Directorate of Project Development, Coordination and Support, Office of Cost Management (OBO/PDCS/COST), requires cost estimating services to complete the task requirements stated below. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. The Data Analyst must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms and creating/running simulations; have a proven ability to drive business results with their data-based insights; and be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Managing Data Analytics • Makes recommendations on analytical, statistical, and programming techniques necessary to collect, organize, analyze, and interpret commonplace data sets. The work allows for the use and analysis of data and analytics for decision-making in the Department., • Works and provides input on cross-functional teams, staffed by direct hires and contractors, that include product owners, designers, developers, researchers to develop data-driven solutions that address business and user challenges., • Uses statistical tools and will assist the team with advanced analytics such as artificial intelligence, machine learning and natural language processing for analyzing data sets. Codes with languages such as python or R and uses SQL and SharePoint and other data processing and analytics tools and software to analyze data sets and uses data visualization tools such as MS Power BI, MS Excel, and others to generate reports and develop compelling stories that convey statistical or technical information to non-technical audiences., • Uses analytical techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data and from those patterns develops findings, inferences, conclusions, and recommendations., • Translates the results of analysis into clear, actionable communications that equips team members and decisions makers to make informed, data-driven decisions., • Willing to learn MS Power Automate and MS PowerApps, tools for integrating Microsoft software together and custom-building solutions for data gathering, Utilization and Support of Data • Participates in discovery processes with business owner teams and stakeholders to identify requirements, expected outcomes for new or existing initiatives, and the measurements of success., • Works alongside other senior data scientists, data analysts, program analysts, and others to recommend technical and analytical solutions that meet requirements for decision-making, • Interacts with internal customers and colleagues to understand business processes, gather requirements, and recommends analysis methodologies., • Works with the team to identify data that are available and relevant, including internal and external data sources, leveraging existing data collection processes, and performing and participates as a team member on all phases of the systems development life cycle required in the design, development, and implementation of features enabling data access., • Provides strategic and technical guidance and hands-on support in the transfer and transformation of any required data. Identifies, adapts, and manages changes to products or programs in response to evolving user needs., • Recommends usage and access control policies and systems in collaboration with system security design staff and stakeholders in continuous improvement processes impacting data quality, performance enhancements, and overall user experience., • Works with senior data scientists who directs internal and external process or system reviews, studies and data validation efforts which provide a means for evaluating system performance and vulnerabilities., • Must be a U.S. citizen., • Ability to communicate orally and in writing on highly complex, controversial, and time- sensitive matters to diverse audiences within all levels of the organization., • Ability to deliver sensitive/difficult information tactfully., • Client-success oriented mindset., • Ability to think strategically, assess problems and solve them with a sense of urgency., • Ability to motivate a team to work together in the most efficient manner., • Ability to effectively analyze and extract insights from structured and unstructured data and apply solutions., • Proficiency in handling imperfections in data., • Level of comfort in participating as a change-agent role within the organization., • Passion and curiosity for understanding business processes and systems for the associated team., • Ability to develop a general working knowledge of the technical domain to effectively support technical risks that may arise., • Experience and capabilities in the use of Microsoft Office Suite (Word, PowerPoint, and advanced use of Excel) and Data Analysis and Manipulation tools such as Power BI, R, Python, etc., • Data Analyst III - A bachelor’s degree from an accredited institution and nine (9) years of related experience

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit We are looking for our next Data Scientists. We have a couple of open positions for Lead and Senior Data Scientists. As Data Scientists, we spend the majority of our time on getting data into proper shape, performing statistical analyses, developing predictive models and machine learning algorithms to solve clients’ business problems. We evaluate different sources of data, discover patterns hidden within raw data, create insightful variables, and develop competing models with different machine learning algorithms. We validate and cross validate our recommendations to make sure our recommendations will perform well over time. The role will also include significant consulting / client facing work comprised of: • Working with practice leaders and clients to understand clients’ business problem, industry context, data sources, potential risk and constraints., • Collaborate with cross-functional teams to develop and deliver data-driven solutions that support key business initiatives, • Design and implement, and optimize advanced models using Python, SQL and Google Cloud Platform (GCP), • Apply mathematical optimization techniques to address real-world healthcare challenges;experience with Gurobi is a strong plus, • Build and manage scalable data pipelines and orchestrate workflows using tools such as Airflow and Dataproc, • Effectively communicate analytical findings and technical methodologies to both technical and non-technical stakeholders, • Minimum 3-4 years (Senior Data Scientist level) or 5-7 years (Lead Data Scientist level) of experience in data science or advanced analytics roles., • Proficient in Python, SQL, and cloud-based environments (GCP preferred)., • Proven experience in mathematical optimization; hands-on use of Gurobi is highly desirable., • Familiarity with workflow orchestration tools such as Airflow or Dataproc., • Strong business acumen with the ability to rapidly integrate into and contribute to complex projects., • Excellent verbal and written communication skills, with a demonstrated ability to engage effectively with diverse stakeholders. If you are interested in the position, please include the following information in your cover letter: • Your experience with Optimization? How much Optimization experience do you have?, • What are some optimization methods you've used., • Which libraries or tools have you used for optimization?, • Have you used optimization in conjunction with machine learning models?, • Do you have experience with Linear/Integer Programming (Gurobi, CPLEX). #LI-ST1

Greetings! Our client Navy Federal Credit Union is the world's largest credit union with over 10 million members, over $149 billion in assets, and over 23,000 employees. Our client is seeking a Data Scientist-15568-Hybrid in Vienna VA. You seem to have a rock-solid profile and your overall background seems to be a great match for the position. Please review the below information for clarity on the position description. Description Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline. Responsibilities • Design, develop, and evaluate moderately complex predictive models and advanced algorithms, • Identifies meaningful insights from large data and metadata sources, • Test hypotheses/models, analyze, and interpret results, • Exercise sound judgment and discretion within defined procedures and practices, • Develop and code moderately complex software programs, algorithms, and automated processes, • Use modeling and trend analysis to analyze data and provide insights, • Develop understanding of best practices and ethical AI, • Transform data into charts, tables, or format that aids effective decision making, • Build working relationships with team members and subject matter experts, • Lead small projects and initiatives, • Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders Qualifications • 3-5 years of experience in exploratory data analysis, • Basic understanding of business and operating environment, • Statistics, • Programming, data modeling, simulation, and advanced mathematics, • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS, • Model lifecycle execution, • Technical writing, • Data storytelling and technical presentation skills, • Research Skills, • Interpersonal Skills, • Working knowledge of procedures, instructions, and validation techniques, • Model Development, • Communication, • Critical Thinking, • Collaborate and Build Relationships, • Initiative with sound judgement, • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.), • Sound Judgment, • Problem Solving (Responds as problems and issues are identified), • Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields, • Desired : Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering

AI/ML Engineer Location: Washington, DC (Hybrid) Required: US Citizen Node. Digital is an innovative solutions development company committed that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state-of-the-art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with RPA and AI/ML. To learn more about our exciting organization, please visit us at ___ Node. Digital is an innovative solutions development company committed that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state-of-the-art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with RPA and AI/ML. To learn more about our exciting organization, please visit us at Role: The Intelligent Automation / AI-ML Engineer is the architect and guardian of intelligent automation solutions that incorporate AI/ML technologies using tools like UiPath AI Center. They ensure the operational efficiency and continuous refinement of Integrated AI/ML solutions. Responsibility: Their responsibility spans the design, maintenance, and optimization of intelligent automation solutions including AI Center troubleshooting and resolution of issues that might arise post-implementation. They will also explore options to build automation with embedded artificial intelligence or machine learning in support of continuous improvement, learning and augmented decision-making. They will also focus on building repeatable intelligent solutions/bots for document processing and data cleansing among others. Recommended Certifications: • UiPath RPA Developer Certification, • UiPath AI Center Experience Bachelor's degree and a minimum of 5 years of experience in automation engineering roles with a focus on AI/ML integrations. Cultural Fit: • Effective communication skills for technical discussions, • Comfortable with Agile methodologies, • Ability to work remotely., • Alignment with customer's mission and values, • Adaptability to varying organizational structures. We are proud to offer competitive compensation and benefits packages to include • Medical, • Dental, • Vision, • Basic Life, • Health Saving Account, • 401K, • Three weeks of PTO, • 10 Paid Holidays, • Pre-Approved Online Training

Senior Data Scientist Organization: Surgical Data Science Collective Location: Washington, DC (Preferred, open to remote EST) Type: Full-Time We’re looking for a driven and experienced Senior Data Scientist to join our expanding team in Washington, DC. This is a founding role, giving you the opportunity to build SDSC’s data science capabilities from the ground up while working at the cutting edge of AI, computer vision, and surgical innovation. In this role, you’ll play a pivotal part in helping medical researchers bring their computer vision projects to life, using data to drive advancements in surgical procedures and outcomes. You’ll be hands-on with complex datasets, supporting research efforts, optimizing models, and turning raw data into actionable insights that improve real-world healthcare. As our first full-time data science hire, you’ll work closely with product, engineering, and ML teams to define data infrastructure, shape workflows, and lay the foundation for scalable data science operations. For the right candidate, this role also offers the opportunity to grow into a leadership position, hiring and mentoring a data science team over time. This position is ideal for a data scientist with a proven track record in multiple projects, particularly in health tech and big data. We’re looking for someone who thrives in a fast-paced startup environment, can lead projects independently, and communicates effectively with both technical and non-technical stakeholders. If you’re excited about building from scratch, driving real-world impact in healthcare, and shaping the future of surgical AI, then this job might be for you. * Analyze large datasets from surgical procedures, medical imaging, and AI models to extract meaningful insights. * Collaborate with ML engineers to optimize machine learning algorithms for surgical computer vision applications. * Conduct statistical analysis and generate reports to support research initiatives and enhance surgical outcomes. * Clean, process, and transform raw data into high-quality datasets for analysis and model training. * Work closely with researchers to define data requirements and structure datasets for computer vision applications. * Ensure data integrity and accuracy across all stages of the data pipeline. * Present findings and recommendations to both technical and non-technical audiences in a clear and compelling manner. * Master’s degree in Data Science, Computer Science, Statistics, or a related field (Phd is a plus). * Independent and driving toward problem solving. * 5+ years of experience in data science, preferably in healthcare or a research-focused environment. * Proficiency in Python, SQL for data manipulation and analysis. * Past experience working with MongoDB and AWS Postgres. * Experience in defining data science projects from scratch. * Knowledge of machine learning engineering principles, with a focus on understanding and supporting computer vision model development. * Strong problem-solving skills and attention to detail. Strong communication skills, with the ability to convey complex data insights to non-technical stakeholders. About us: SDSC is a non-profit organization dedicated to improving surgical outcomes by leveraging the power of artificial intelligence. We work with surgeons to generate comprehensive metrics from surgical videos, providing them with valuable information to enhance their procedures. We also help surgeons create searchable libraries of their surgical videos, complete with secure backups. By empowering surgeons with our cutting-edge technology, we aim to improve patient outcomes and advance the field of medicine.

Task Force Talent is seeking mid to senior-level machine learning (AI/ML) engineers (possibly multiple openings, at least one lead position) for a very well-funded early-stage company working on automated methods to detect flaws in large software systems. The key responsibility in this role will be to apply AI/ML techniques to identify software bugs and/or reduce the search space for where to look for them. Please note this also includes significant components of software engineering and is not just building models. The founding team at this client is exceptional: they have started and sold two prior companies, the last one to a top tech giant, and they have built systems that others said could not be built. They have assembled a team (~40-50) of incredibly talented, very high-end scientists and engineers that like to solve "impossible" problems. Morale at this company is very high, and so are the hiring standards. This company is looking for top engineers who can work with a team and enjoy what they do. Target salary range is 120k to 250k+ plus equity, depending on experience level. (Note: At $170k base salary or above, generally candidates need at least 5+ years of experience and a very strong interview.) All positions are full-time, in-office near Tysons Corner, VA, in the Virginia tech corridor. There is a small future possibility of work in the UK. This company is completely private sector, no security clearance required. However, employment is open to U.S. citizens or Lawful Permanent Residents (Green Card) only at this time. We are unable to sponsor visas. If you apply but this company is not a fit, we will consider you for other available positions as well. Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: ___ (Terms and conditions apply.) Qualifications • U.S. Citizen or Lawful Permanent Resident, • Strong background in computer science; this company is open to physicists/mathematicians but in our experience candidates typically need to have theoretical computer science foundations or significant coding experience to pass the technical interviews, • Candidates must be comfortable with and have a track record of solving hard problems. For this specific role, candidates should have a good understanding of AI/ML techniques and experience using it to deliver results. (Again, not just plug and chug or building models and throwing them over the wall.), • Strong programming experience and credentials. Any serious language is ok. This company assumes any candidate they hire is smart enough to figure out the syntax of a new language and use the right tool for the job., • Solid understanding of algorithms and data structures as well as cloud experience (any of the major providers, AWS, Google Cloud, Azure.) The process typically involves an initial phone screen, a technical coding interview (can be virtual), and several on-site interviews. Often part of the on-site interview is a technical presentation on a problem the candidate has solved or something the candidate has built, and the discussions will go from there. This company has genius-level engineers who like to get into the details! About us: Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series B startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium size government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you! If you don't see the perfect fit, simply use our general application at: ___ If you don't see the perfect fit, simply use our general application at:

Clearance Required: TS/SCI with Poly (Full Scope is preferred) The client is a government contractor, and this position requires US Citizenship. Job Summary My client is a data science consulting firm specializing in providing analytic solutions to clients in the commercial and government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools. We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our client's environment and needs. Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience. Summary of Position: You will join a skilled team applying cutting edge research in a complex and evolving data environment, develop code to perform complex modeling to detect and characterize objects (using python, tensorflow, pytorch and related software packages) and enhance an evolving analytic tradecraft. You will integrate data from a variety of sources, formats and disciplines into coherent databases, train foundation models to advance the Intelligence Community, fine-tune models to address real intelligence questions, and write compelling documentation and reports for decision makers. This position will be part of our Defense and Intelligence Team serving the Intelligence Community as our primary customer. Essential Functions: · Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills. · Sound judgment and creative problem solving and independent working skills. · Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia). · Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders. · The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations. · Technical understanding of the systems supporting aspects of the functional areas. · Knowledge of standard tools [e.g., the Sponsors various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves. · Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized. Job Specifications/Requirements: · Active TS/SCI security clearance with the required Polygraph · Bachelors degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience. · Data Science experience · Python and/or R · Machine Learning/Computer Vision/Object Detection Desired Skills: · Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement · Masters degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience · Bachelors degree in a technical field (computer science, mathematics, statistics etc) Max salary is $185k Desired Skills: · Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement · Master’s degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience · Bachelor’s degree in a technical field (computer science, mathematics, statistics etc)

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit ___ We’re growing our Data Science team to drive innovation in Generative AI. As a Data Scientist – Applied AI & Prompt Engineering, you will design, build, and deploy LLM-powered solutions that directly impact our products and users. You’ll work hands-on with LLMs, transformers, retrieval-augmented generation (RAG), and AI agents, collaborating with Engineering to bring prototypes all the way to production and take ownership of their ongoing maintenance, enhancement, and evolution. * Architect and implement production-ready AI solutions involving LLMs, transformer-based models, retrieval systems, agentic workflows, and AI agents for generative tasks and automation. * Design and iterate on prompts, workflows, and RAG pipelines to improve accuracy, cost-efficiency, latency, and safety. * Design and build multi-step agentic systems that break down complex tasks, invoke external tools or APIs, manage state, and handle reasoning chains robustly. * Deploy models and GenAI pipelines in production environments (API, batch, streaming), ensuring reliability and scalability. * Build and maintain evaluation frameworks to measure model grounding, factuality, latency, and cost. * Develop and integrate guardrails (e.g., prompt-injection protections, content moderation, output validation), and safeguards for agent loops (e.g., loop prevention, tool call limits, state validation). * Collaborate cross-functionally with Product, Engineering, and ML Ops to deliver high-quality AI features end-to-end. Experience: 3+ years applied machine learning, with hands-on focus on NLP, transformers, or generative AI systems. LLM and Agent Tools: Hands-on experience with LLM-related libraries (e.g. LangChain, LlamaIndex, OpenAI API, CrewAI, or similar) and services (Azure Prompt flow, AWS Bedrock agents, or similar) Agentic Systems: Experience designing multi-step agents that combine LLM reasoning with tool/API calls, with safeguards against errors, loops, and unsafe tool use. ML Foundations: Proven experience building and deploying machine learning models to production (API, batch, or streaming). Coding: Fluency in Python, with clean, modular, production-grade code practices. Experimentation: Strong ability to design and analyze ML experiments; track performance using metrics, not gut feel. Deployment: Ability to develop, deploy and monitor AI-powered applicaitons in cloud environments (e.g. AWS, Azure, GCP) using APIs, batch, or streaming architectures. Familiarity with containerization, versioning, and CI/CD. Responsible AI: Experience implementing privacy, bias mitigation, safety guardrails, or related practices. * Degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience). * Expertise in transformer-based models and LLM architectures. * Ability to bridge rapid prototyping and production deployment — you own what you build through to live systems. * Strong collaborator who thrives at the intersection of DS + Engineering. Due to a high volume of inauthentic applications, we require a current and complete LinkedIn profile for consideration

We are seeking an accomplished & Databricks Certified Principal Consultant with specialized expertise in delivering strategic Databricks and data engineering solutions for our clients at Lovelytics. As a pivotal member of our team, you will serve as a data and analytics solution architect, leading technical engagement and architecture initiatives encompassing data warehousing, ETL development, data integrations, and data modeling. Location: This role is open to remote candidates in the following states: AZ, CA, DC, VA, MA, MD, FL, GA, IL, IN, KS, NC, NJ, NY, PA, OR, TN, TX, WA Primary Responsibilities: • Design end-to-end data pipelines leveraging Databricks for ETL, streaming, and batch processing., • Architect data lakes and warehouses on Databricks, ensuring scalability, reliability, and performance., • Collaborate with stakeholders and other capability team members to translate business requirements into technical specifications and scalable solutions., • Implement best practices for data governance, security, and optimization within the Databricks environment., • Collaborate with Technical Directors to identify market trends, implement internal initiatives, and contribute thought leadership through blogs and innovative solutions., • Apply deep technical knowledge to address client challenges and expand business opportunities, and at times, engage in client-facing pre-sales and pursuit activities., • Manage projects, ensuring milestones are achieved within set timelines and budgetary constraints., • Bachelor's degree in Computer Science or related field., • 8+ years of data engineering experience within cloud-based analytics architectures, with at least 4 years in a traditional consulting environment and role., • Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks., • Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark., • Solid understanding of cloud platforms (Azure, AWS, or GCP) and their integration with Databricks., • Expertise in SQL, Python, or Scala for data manipulation and analysis., • Familiarity with Machine Learning model development or ML Ops is advantageous., • Excellent communication skills, crucial for effective client interaction and management., • Exciting projects with diverse clients across various industries globally., • Collaborative environment fostering rapid skill development and innovation., • Opportunity to work alongside seasoned data engineers and grow professionally., • Encouragement to challenge norms, develop new technologies, and refine methodologies.

Job title: Cyber Defense-Cybersecurity Engineer/Architect Lead (AI/Automation) Location / Work type: Remote/Full-Time Clearance: Must be able to get a Public Trust About the Company: Imagineeer is leading the charge in data transformation, impacting sectors from healthcare to government operations, green energy, supply chain, and sports. Leveraging cutting-edge technologies like AI, post-quantum security, and blockchain, we empower decision-makers and fortify data security. We specialize in federal agency modernization; we collaborate closely to transform operational ecosystems, addressing unique challenges with acquisition support and stakeholder communication. Imagine Lab, our digital think tank, explores innovation through employee engagement and machine-generated insights. If you're passionate about reimagining operations and empowering organizations to evolve proactively, join us in shaping the future. About this Role: We are seeking a highly skilled and innovative Cybersecurity Engineer/Architect Lead with expertise in AI/Automation to drive advanced cybersecurity initiatives for our federal government clients. This senior-level role blends cyber defense leadership, security architecture, and cutting-edge AI-driven automation, with a mission to protect enterprise systems against evolving threats. The successful candidate will be responsible for designing, implementing, and maintaining robust cybersecurity architectures, while leveraging machine learning (ML) and automation technologies to enhance threat detection, response, and overall security operations. Key Responsibilities: * Lead the design, implementation, and management of enterprise-wide cybersecurity architectures, ensuring they meet both operational and compliance requirements. • Develop and deploy AI-driven security solutions, including automated threat detection, response, and vulnerability management tools., • Oversee security operations, including incident detection, response, and recovery, utilizing automation where possible., • Lead the deployment, configuration, and maintenance of security tools and platforms, including SIEM, EDR, SOAR, IDS/IPS, and cloud-native security solutions., • Architect and implement zero-trust security frameworks across systems, networks, and cloud environments., • Lead threat hunting initiatives, utilizing advanced analytics, machine learning models, and behavioral analysis to detect sophisticated threats., • Guide the development of automated response capabilities for common threats, reducing manual workloads and improving response times., • Develop and maintain cybersecurity policies, procedures, and technical standards that incorporate automation and AI capabilities., • Conduct comprehensive security assessments, risk analysis, and threat modeling to inform architectural decisions., • Collaborate with stakeholders to ensure security architectures align with business objectives, federal mandates, and mission-critical operations., • Provide technical leadership in the evaluation and selection of security tools, AI platforms, and automation technologies., • Manage and mentor a team of cybersecurity engineers, fostering technical growth and operational excellence., • Create and maintain detailed security documentation, including architectural diagrams, playbooks, runbooks, and compliance reports. Qualifications and Skills: • Bachelor’s or Master’s degree in Cybersecurity, Computer Science, Information Technology, or a related field. 10+ years of experience in cybersecurity engineering, including hands-on roles in security operations, engineering, or defense. * 5+ years of experience in security architecture design, implementation, and leadership. * 3+ years of experience implementing AI/ML solutions in cybersecurity contexts, such as automated threat detection or response. • Experience supporting or working within federal cybersecurity environments, including understanding of federal compliance requirements., • Ability to obtain and maintain a Public Trust clearance. Expert knowledge of cybersecurity frameworks, including NIST (800-53, RMF), ISO 27001, and CIS controls. • Deep experience with security automation platforms, including SOAR, automated vulnerability management, and AI-driven detection tools., • Strong background in AI/ML technologies, with experience deploying models for cybersecurity use cases (e.g., anomaly detection, predictive threat analysis)., • Proficient in network, cloud, and endpoint security architectures, with hands-on experience in AWS, Azure, GCP, and hybrid environments., • Strong experience with SIEM (Splunk, ELK, QRadar), EDR (CrowdStrike, SentinelOne), and threat intelligence platforms., • In-depth understanding of DevSecOps practices, including integration of security into CI/CD pipelines and Infrastructure as Code (IaC)., • Expertise in threat modeling, attack surface analysis, and designing security controls to defend against advanced persistent threats (APTs)., • Strong knowledge of security orchestration and automated response (SOAR) and incident response automation., • Ability to implement zero trust architectures, micro-segmentation, identity-based access controls, and continuous verification models., • Strong skills in scripting and programming (e.g., Python, PowerShell, Bash) for automation, tool development, and data analysis., • Familiarity with regulatory frameworks such as FedRAMP, CMMC, FISMA, and their security requirements., • Excellent skills in technical writing, documentation, and development of security architecture artifacts., • Strong leadership, mentoring, and team management capabilities, with the ability to lead cross-functional cybersecurity teams. Desired Skills and Competencies: • Certifications such as CISSP, CISM, CISA, GCPN, GCIH, AWS Certified Security, or Certified Cloud Security Professional (CCSP)., • Hands-on experience with TensorFlow, PyTorch, or other ML frameworks for security-focused applications., • Practical knowledge of container security (Docker, Kubernetes, EKS, AKS, GKE)., • Experience implementing zero trust architecture (ZTA) at scale in enterprise or government environments., • Familiarity with blockchain security models, secure smart contracts, or distributed ledger technologies., • Previous experience in federal government cybersecurity operations, including DHS, DoD, or intelligence community programs., • Background in incident response, red team/blue team operations, or penetration testing., • Excellent public speaking and presentation skills for leadership briefings, stakeholder updates, and conference presentations., • Experience working in military or defense cybersecurity roles is highly desirable., • Knowledge of quantum-resistant cryptography or emerging security technologies., • Experience developing or contributing to security tools or automation frameworks. Additional Information: This position is remote, with potential virtual team meetings based on project needs. Must be a U.S. Citizen capable of obtaining a Public Trust clearance. This is a remote position. Compensation: $120,000.00 - $135,000.00 per year Our Approach We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence. We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments. Our Mission Imagineeer's mission is to empower transformation through the operationalization of intuition. We establish an innovation pipeline, reimagining operations by delving into data analysis to optimize outcomes for our valued customers. Collaborating closely with our clients, we strive to actualize the inherent genius embedded within their organizational structure. Our efforts focus on the transformation of organizations, emphasizing the development of foundational strengths in key areas, including data, personnel, hypothesis development, and the cultivation of a learning-from-failure mindset.

· 15+ years of experience in technical program management, leading teams, managing budgets, and financial and technical reporting within the Federal sector · 15+ years of experience in quantitative analysis, predictive analytics, and machine learning · Master’s degree or higher in a statistics analysis field · Strong understanding of disability compensation claims process, including the digitization of VBA Disability Benefits Questionnaires (DBQs) · 15+ years of experience in technical program management, leading teams, managing budgets, and financial and technical reporting within the Federal sector · 15+ years of experience in quantitative analysis, predictive analytics, and machine learning · Master’s degree or higher in a statistics analysis field · Strong understanding of disability compensation claims process, including the digitization of VBA Disability Benefits Questionnaires (DBQs) Experience in VA clinical data reconciliation, clinical data exchange formats, etc.. • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long-Term Disability Disclaimer: Greenberg & Larraby, Inc. will never send offer letters of employment unless a thorough interview process has taken place and all other internal processing has taken place. If you receive one from an outside party and is not from the URL of our firm at @greenberg-larraby.com), please do not respond. If you have further questions, please reach out to your administrator. When you apply to our positions, upon our interest, a recruiter will call you directly and will pre-screen prior to an interview. Offers of employment are contingent upon a thorough interview process, background check, and security clearance adjudication processing as applicable. Thank you.

Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, ___ aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a sales data scientist or machine learning sales engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! As a Senior Sales Engineer you will become an integral part of the Federal Solutions Engineering team responsible for working with a wide range of customers and prospects across multiple industries and verticals. You will be responsible for technical sales activities required to support attainment of new and expansion revenue for H2O.ai sales. As part of that, you will be a key technical advisor to H2O.ai customers and prospects: • Being a trusted advisor and go-to resource of all technical Gen AI/ML challenges during the sales process., • Providing machine learning expertise to help customers solve their business challenges., • Selling and architecting value-based AI solutions that address customer needs and leverage Cloud native technologies for scalability and efficiency.This role is based in the DC Metro area. You will spend 75% of your time in this area so we want you to be in close proximity! What You Will Do • Be the trusted data science advisor for our prospects, customers and partners., • Own account-related technical items and relationships - account planning, project management, and solution design., • Communicate effectively with internal and external stakeholders to a diverse audience, including: engineers, business people, partners and executives to demonstrate thought leadership. Audiences will be large and small, and interactions will be in-person and online., • Translate business use cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment., • Demonstrate machine learning solutions with engaging storytelling and technical accuracy., • Create, design, and deliver compelling presentations on complex and technical concepts., • Lead successful proof of values and concepts., • Keep track of customer projects and provide technical support for successful delivery wherever necessary., • Participate in classified conversations with sensitive prospects and customers.What We Are Looking For, • Bachelor’s or a higher degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience., • Minimum of 5 years of relevant sales engineering experience working in the field of Gen AI/ML, in a pre-sales customer facing role., • U.S. Citizen with a TS/SCI Security Clearance., • Strong knowledge of Python programming and familiarity with various data munging and machine learning libraries is required., • Consultative selling experience is an asset., • In depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines., • Experience with Cloud platform architectures (AWS, Azure, GCP) and working knowledge of Kubernetes., • Excellent verbal and written communication skills., • Self-starter, able to work without any supervision., • Comfortable with travel away from the DC Metro area up to 25% (customers, conferences, etc.).How to Stand Out From the Crowd, • Past experience working within the Intelligence community, • Past experience with a consulting companyWhy H2O.ai?, • Total rewards - healthcare benefits, 401K plan, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team, • Career growth, • Base salary range: $180,000 - $200,000. Commission eligible.H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit___Please visit___ to learn more. #LI-DNI

DocMe360 is on the lookout for a talented Full Stack AI Engineer specializing in Python and React to join our growing team. In this role, you will be at the forefront of developing clinical AI solutions for the Department of Veteran Affairs. You will apply your expertise in AI and machine learning to solve real-world challenges while collaborating with a dynamic team dedicated to improving healthcare technology. Your contributions will have a direct impact on Veterans and the healthcare professionals that support them. This position entails designing, coding, testing, and deploying AI solutions into the Department of Veteran Affairs. This position may be filled as a contract role, contract-to-hire, or direct hire. • Design, build, and implement AI-driven applications utilizing Python for back-end services., • Utilize VA Design Systems to integrate user-facing elements developed in React or similar frameworks., • Developing ML/AI models., • Write high-quality, maintainable code and contribute to system architecture and design discussions., • Participate in code reviews and contribute to team knowledge sharing, supporting continuous improvement., • Work with cross-functional stakeholders to understand requirements and provide technological solutions that enhance user experiences., • Analyze and resolve performance issues, ensuring optimized applications that meet high standards of reliability and scalability., • Stay up-to-date with the latest AI advancements and emerging technologies relevant to the healthcare domain., • Document development processes and maintain detailed records for internal use. DocMe360 Values • Delivery – Uphold honesty, transparency, and integrity in every engagement, driving professional growth., • Optimism – Foster empowerment and well-being through a positive, growth-oriented culture., • Collaboration – Leverage shared expertise and teamwork to achieve impactful results., • Motivation – Inspire clients and colleagues with passion, purpose, and energy., • Exploration – Pursue innovative technologies that enhance the quality of our solutions., • 5+ years of experience in full stack development, with a focus on Python., • Strong background in AI and machine learning technologies and methodologies., • Proficiency in designing and implementing RESTful APIs and developing scalable applications., • Experience with front-end technologies, such as React, or similar frameworks., • Familiarity with database management systems such as relational databases. Experience with vector and graph. databases are a plus., • Strong problem-solving skills, with the ability to work independently and manage deadlines effectively., • Excellent communication and collaboration skills to work effectively across teams., • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Development, • Work From Home

At INflow Federal, we're not just navigating the frontier of digital transformation; we're reshaping it. Our dedication to merging the prowess of humans and machines to solve complex problems has set us apart in designing and engineering solutions for the Department of Defense (DoD) networks. Here, every challenge is an opportunity to advance, and every solution is a step towards a more secure and connected future. We look forward to welcoming you to the INflow team! ABOUT THIS POSITION: Data Scientists at INflow Federal are at the heart of our mission to empower DoD customers with cutting-edge data-driven solutions. Your expertise will not only pave the way for innovative data management and infrastructure but also drive our commitment to data modernization and cyber resilience. This role is a unique blend of technical mastery and strategic foresight, designed for those who dare to transform data into actionable insights and groundbreaking solutions. Here, your work is more than a job—it's a journey in innovation. With opportunities to work on high-impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference. The Data Scientist will apply statistical and machine learning techniques to analyze complex data sets and derive actionable insights. This role involves working with cross-functional teams to identify business problems, develop predictive models, and communicate findings to drive strategic decisions. \n Job Duties • Develop and maintain dashboards according to user requirements., • Collaborate with data engineering and functional resources to build performant applications to support requirements from the procurement, FM, and other communities as needed and approved by CDAO leaders., • Design, configure, develop, test, and support informatics and data science solutions for a wide array of technical use cases., • Apply analytical methodologies to diagnose data-related challenges, implement solutions, and evaluate performance., • Document and present requirements, design alternatives, and findings to team members and external stakeholders., • Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships., • Experience with integrated development environments, data integration, data visualization, data mining, and analysis tools. Required Experience • Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations., • 5+ years experience developing in Python and EQL; experience with Apache Spark highly desired., • 5+ years experience developing dashboards using either Qlik or Tableau., • Minimum 2+ years experience working directly with either contracting or FM data sources., • Desired Education: Bachelor’s degree or higher. Preferred Certifications (2 of the 5) • CompTIA Security+, • Certified Analytics Professional (CAP), • AWS Certified Machine Learning – Specialty, • Microsoft Certified: Azure Data Scientist Associate, • Certified Data Scientist (CDS) Required Clearance • DoD Secret \n About Us Founded in 2013, INflow Federal has distinguished itself through our exceptional services because of our deep-rooted commitment to our people. The ‘INflow difference’ lies in our profound appreciation of employee culture, fueling an obsession with the well-being and professional growth of our team. This employee-centric ethos has been pivotal to our enduring success, directly translating into significant benefits for our customers. Our identity is greatly influenced by the contributions of US Military Veterans. INflow’s Veteran Outreach Program, dedicated to recruiting transitioning military personnel, has been a resounding success. Veterans now represent over 50% of our workforce, bringing invaluable experience and insight that have been crucial in steering our customers’ success. As a dynamic small business at the forefront of innovation, INflow boasts extensive expertise in Network Modernization, Cybersecurity, and Data Modernization in support of Joint Force Mission Operations. Our reach extends to over 20 states, serving prestigious federal government clients including the United States Navy (USN), United States Marine Corps (USMC), and Joint Forces. In our quest to simplify the customer experience, we embrace a collaborative approach, guided by our leadership’s transparent communication and unwavering commitment to integrity. Our customers value partnering with INflow for our agility, passion, and integrity. Fueling INflow’s continuous evolution is our voracious appetite for researching and integrating AI/ML technologies. We are committed to empowering our employees and customers with these emerging tools, enhancing their ability to effectively integrate these technologies into their workflows. This not only improves their operational efficiency but also deepens their understanding of AI/ML’s transformative potential. As we progress, our focus remains steadfast on developing our people so they can lead our customers into the future of mission systems and operations, adeptly navigating the ever-evolving landscape of the Department of Defense with innovative solutions and strategic insights. Citizenship Requirements INflow Federal is a defense contractor. Due to legal requirements, candidates must be US Citizens to be considered for employment. Other Notes • Some travel may be required: Must have valid driver’s license and transportation. This is subject to change at the direction of the customer. Other: • Candidate must have the ability to lift up to 50 lbs. Must have willingness to perform duties not listed in the job description as required by INflow and our customer. Equal Opportunity Employer Diversity and Inclusion INflow provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This commitment applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, leaves of absence, compensation, and training. Job applicants and employees are evaluated solely on job-related qualifications and experience.

Senior Data Scientist Minimum Years of Experience Required: 6+ Years Salary range: $160,000 - $190,000 (for Senior/Experienced level) Eligibility to Work: To be eligible for this role, applicants should be a Permanent Resident or have existing legal authorization to work in the U.S. Visa sponsorship is not available at this time. About the Role: Join our team as an experienced Senior Data Scientist to extract valuable insights from complex datasets and apply advanced analytical and machine learning techniques to solve critical business problems within an AI tech company context. You will be responsible for the full data science lifecycle, from data collection and cleaning to model development, deployment, and interpretation. This role is for a seasoned professional with a strong analytical mindset, deep expertise in data science methodologies, and the ability to drive data-informed decision-making. Key Responsibilities: * Identify and formulate business problems that can be solved with data science and AI techniques. * Collect, clean, process, and explore large and complex datasets. * Design, develop, and implement data models, statistical analyses, and machine learning algorithms. * Build and evaluate predictive and prescriptive models to address business challenges. * Collaborate with engineering and ML teams to integrate data science models and solutions into production systems. * Communicate findings, insights, and the results of analyses and models to technical and non-technical stakeholders effectively, using visualizations and clear explanations. * Stay up-to-date with the latest research and advancements in data science and machine learning. * Contribute to the development of data pipelines and infrastructure for data science workflows. * Mentor junior data scientists and share knowledge within the team. Qualifications: * Minimum 6 years of experience in data science, statistical analysis, or machine learning. * Proficiency in programming languages such as Python or R, and extensive experience with data science libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). * Strong understanding of statistical concepts, experimental design, and various machine learning algorithms. * Experience with data manipulation, cleaning, and feature engineering. * Experience with data visualization tools and techniques. * Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is often preferred for senior roles. * Master's or Ph.D. in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Operations Research) is typically preferred for senior roles. * Proven ability to translate business problems into data science solutions and communicate technical results clearly. Benefits: * Comprehensive Health, Dental, and Vision Insurance * Professional Development Stipend * Flexible Work Arrangements * 401(k) with company match * Generous Paid Time Off and Holidays * Stock Options or RSU program * Paid Parental Leave

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: Planet’s Built Environment applied machine learning team delivers advanced geospatial products primarily for a variety of customers who require robust analytics such as change detection, object detection, and emerging generative AI capabilities. This role is a blend of hands-on engineering and modeling focused on Defense and Intelligence applications. You’ll implement novel methods (e.g., deep learning for time series and computer vision), ensure best-in-class testing and validation, and deploy solutions to run at continental and global scales. You’ll collaborate with both data scientists and software engineers to drive innovation in remote sensing and large-scale geospatial analytics. The ideal candidate has a passion for innovation—you bring a creative mindset when solving complex problems. This is a full-time, hybrid role which will require you to work from our D.C. office (Arlington, VA) 3 days per week. Impact You'll Own: • End-to-end model development & maintenance: Develop new algorithms or methods, implement and test them rigorously, and integrate them into production pipelines. Contribute to their ongoing maintenance and iteratively improve them., • Advancing geospatial analytics: Innovate on computer vision, time series, and other ML techniques to uncover new insights from satellite and aerial data., • Cross-functional collaboration: Partner with product managers, data scientists, and engineers to define requirements, validate model outputs, and refine algorithms in iterative cycles., • Collaborating with adjacent ML and software engineering teams to ensure seamless integration of ML pre-processing and inference steps, defining best practices for efficient deployment and maintenance of geospatial models. What You Bring: • 6+ years of relevant experience of which 5+ years of experience is in machine learning, • Deep familiarity with time series methods, computer vision, and embeddings; able to implement, train, and optimize neural networks., • Experience wrangling large datasets, ideally with geospatial libraries, combined with frameworks like PyTorch/TF for model development and training., • Ability to experiment with model architectures, and derive data-driven insights to iteratively improve performance and accuracy., • Experience writing clean, modular Python code and applying software development best practices (Git, testing, CI/CD)., • Experience deploying models (via Docker, Kubernetes, or similar) with an understanding of best practices for monitoring and maintaining them at scale., • AWS or GCP experience, • Excellent communication skills, capable of explaining technical topics to diverse audiences., • Bachelor’s degree in a STEM or analytics-focused field or equivalent work experience. What Makes You Stand Out: • Ability to work and commute to Arlington, VA 3x/week, • Ability to obtain and maintain US Security Clearance, • Practical knowledge of remote sensing, satellite imagery, or related geospatial domains, • Knowledge of coordinate reference systems, geometry manipulations, and common data formats (GeoTIFF, GeoJSON, etc)., • Hands-on experience building geospatial or sensor-driven data products from scratch, • Familiarity with techniques like model compression, GPU optimizations, or distributed training pipelines, • Ability to complex problem-solve while working within the constraints of our compute environment. Application Deadline: September 29, 2025 by 11:59 PM PDT Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. • Comprehensive Medical, Dental, and Vision plans, • Health Savings Account (HSA) with a company contribution, • Generous Paid Time Off in addition to holidays and company-wide days off, • 16 Weeks of Paid Parental Leave, • Wellness Program and Employee Assistance Program (EAP), • Home Office Reimbursement, • Monthly Phone and Internet Reimbursement, • Tuition Reimbursement and access to LinkedIn Learning, • Equity, • Commuter Benefits (if local to an office), • Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. US National Salary Range $142,800 - $178,500 USD Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. ___ EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

We are hiring an ML Applications Engineer with the capability and readiness to obtain a U. 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 interes

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit ___. We are seeking a talented and versatile Full Stack AI Engineer to join our team. The ideal candidate will have a strong foundation in both front-end and back-end development, AI and data science capabilities, and experience in orchestrating agents and workflows using tools like N8n. You will play a key role in designing and building intelligent, scalable solutions that bridge the gap between data engineering, user experience, and artificial intelligence. Key Responsibilities: * Design and implement full-stack applications using React or Next.js * Develop and maintain ETL pipelines to support data ingestion and transformation * Leverage N8n or similar tools for agent orchestration and workflow automation * Build and integrate AI-driven features (LLMs, embeddings, generative AI, etc.) into applications * Collaborate with data scientists and engineers to design and deploy machine learning models * Write clean, testable, and scalable code across the stack * Work closely with stakeholders to define product requirements and deliver user-centric solutions * Proven experience with React or Next.js in production environments * Strong understanding of ETL processes and tools * Experience with N8n, Node.js-based automation/orchestration tools, or equivalent * Familiarity with modern AI/ML technologies and libraries (e.g., Hugging Face, OpenAI, TensorFlow, LangChain) * Understanding of basic data science principles (e.g., feature engineering, model evaluation) * Strong problem-solving skills and ability to work in a collaborative team environment Nice to Have: * Experience deploying LLMs or AI agents in production environments * Backend development experience with Node.js, Python, or similar * Exposure to cloud platforms (AWS, GCP, Azure) * Understanding of vector databases or knowledge graphs Why Join Us: * Work on cutting-edge AI products with real-world impact * Collaborate with a team of smart, motivated professionals * Flexible remote work and growth opportunities * Competitive compensation and benefits

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 who are not located within fifty miles of the corporate office. This position will report directly to the Vice President of Engineering. 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. • Define and implement intelligent agent systems capable of real-time decision-making, • 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., • A bachelor'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., • Experience working with specific Agentic Frameworks and tools (e.g. LangChain, AutoGPT, Semantic Kernel, etc.), • 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 ¾ Medical, Dental, and Vision plans ¾ Unlimited PTO ¾ Federal Holiday Paid Leave ¾ 12 weeks of paid Parental Leave ¾ Employer paid STD/LTD ¾ Employer Paid Life Insurance ¾ 401K plan and Employer Match ¾ Professional Development Assistance ¾ Equity Incentive Plan Who we are: 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.

Are you a Junior DevOps Engineer who is ready for a new challenge that will launch your career to the next level? • Tired of being treated like a company drone?, • Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again?, • We will immerse you in the latest technologies., • We will develop and support your own personalized training program to continue your individual growth. If this sounds interesting to you, then we’d like to have a discussion regarding your next adventure! If you want to be a drone, this isn’t the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: • Long term job security, • Competitive salaries & bonus opportunities, • Challenging work you are passionate about GliaCell is seeking a Junior DevOps Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Responsibilities: • Provide support for deploying and maintaining software on existing systems., • Support migrating software deployments to new cloud systems., • Research, design, implement, and manage software deployments including CI/CD processes., • Identify areas for modification in existing systems and subsequently developing these modifications within the contract., • Collaborate with developers, platform maintainers and systems analysts. To be considered for this position you must have the following: • U.S. Citizenship., • Bachelor’s in computer science (or related field) or 5 years without the degree, • Works well independently as well as on a team., • Required: Kubernetes, Docker, Docker-compose, Helm, Git, Gitlab, Gitlab runners, Rancher, and Linux command line tools. Salary Range: The salary range for this full-time position is $70,000 to $130,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. SIGN-ON BONUS ELIGIBLE. Benefits: • CareFirst Medical Coverage for Employee and Dependents, • Guardian Dental and Vision Coverage for Employee and Dependents, • Up to 25 Days of Paid Time Off, • Up to 40 hours of PTO Carryover, • 11 Federal Government Holidays, • Work From Home Opportunities, • 401K Company Contribution, Fully Vested Day 1, • Discretionary, Certification, and Sign-On Bonus Potential, • Employee Referral Bonus Program, • Annual Professional Development, • 100% Premium Covered for Life & Disability Insurances, • Additional Voluntary Life Insurance Coverage Available, • Employee Assistance Program, • Travel Protection Program, • Financial Planning Assistance, • Bereavement and Jury Duty Leave, • Monthly Team and Family Events, • Technology Budget, • Global Entry To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Alarm.com is seeking a Senior DevOps Engineer to join our growing team. The DevOps engineer designs and develops applications to deliver integration and automation solutions across Alarm.com's infrastructure and applications stack throughout the entire lifecycle. This position works closely with Engineering, Quality Engineering, Cloud Operations, Security and Release Management in on-boarding of new and existing life safety and home automation applications to the cloud and serves as the main liaison between these teams to deliver automation solutions and software deployment frameworks from inception to development to production to maintenance. This role encompasses all technical aspects of the Alarm.com cloud and applications with an ever-watchful eye on their availability, latency, performance, and capacity. RESPONSIBILITIES The DevOps Engineer primary job responsibilities will include: • Support, configure and deploy third party applications in Alarm.com infrastructure such as Elasticsearch, Redis, Kafka, RabbitMQ and ActiveMQ., • Design and develop tools and frameworks to enable continuous code integration and automated infrastructure management across all layers in the cloud – Servers, Storage, Network, Operating Systems, Management infrastructure Applications, and Monitoring and Alerting., • Provide technical direction to Engineering teams on best practices for deploying software in the cloud., • Develop a full understanding on the operation and architecture of the Alarm.com cloud and provide innovative solutions to increase reliability, performance and predictability in our operations., • Evaluate, architect, implement and migrate on-premises complex workloads to hyperscaler infrastructures – AWS, Azure., • Embrace DevOps activities to increase consistency and visibility into change management., • Troubleshoot issues and participate in on-call support, ensuring stability and performance of the production environment., • Work closely with various groups within Operations, Software Engineering, and Quality Engineering to drive efficiencies. Including authoring of runbooks and key alert metrics, and overall health and stability of monitoring., • Support application deployments and the entire SLDC., • Other duties as assigned REQUIREMENTS • 5+ years of related DevOps experience, • B.A. or B.S. (or higher level degree) in Computer Science or a similar engineering program with strong academic performance preferred., • Experience with Cloud Platforms and virtualization Technologies: VMWare, Azure and AWS., • Experience with Configuration Management and IaC tools: Ansible/AWX, Puppet, Terraform., • Knowledge of Linux operating systems like Ubuntu and Red Hat Enterprise Linux., • Experience with containerization concepts and technologies: Docker, K8s, AKS, Rancher., • Familiarity with Server Monitoring & Application Performance Monitoring solutions. E.g. PagerDuty, Grafana, OpenTelemetry, New Relic, Dynatrace, AppDynamics, • Knowledge of automation frameworks and CI/CD tools: Bamboo, GitHub Actions, Octopus Deploy, Jenkins, Atlassian, GIT, ArgoCD., • Familiarity with secrets and artifact storage technologies like Vault and Artifactory., • Familiarity with programming and scripting languages: Bash, C#, Python, Go., • Familiarity with multi-tiered escalation and on-call procedures., • Ability to work both collaboratively and individually within a team environment., • Exemplary passion for automating complex processes and running Infrastructure as Code., • Self-directed approach with a high degree of initiative to investigate and resolve issues. PREFERRED QUALIFICATIONS • Familiarization with security tools, patch management, benchmarks and compliance frameworks., • Knowledge of Windows Server operating systems, applications and services including IIS, SQL Server, PowerShell., • Experience implementing messaging systems: Kafka, RabbitMQ, ActiveMQ, Elasticsearch and Kubernetes. Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. WHY WORK FOR ALARM.COM? • Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers., • Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the ___ team!, • Gain well rounded experience: ___ offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business., • Focus on fun: ___ places high value on our team culture. We even have a committee dedicated to hosting a stand-out holiday party, happy hours, and other fun corporate events., • ___ values working together and collaborating in person. Our employees work from the office 4 days a week. COMPANY INFO ___ is the leading cloud-based platform for smart security and the Internet of Things. More than 7.6 million home and business owners depend on our solutions every day to make their properties safer, smarter, and more efficient. And every day, we’re innovating new technologies in rapidly evolving spaces including AI, video analytics, facial recognition, machine learning, energy analytics, and more. We’re seeking those who are passionate about creating change through technology and who want to make a lasting impact on the world around them. For more information, please visit ___. COMPANY BENEFITS ___ offers competitive pay and benefits inclusive of subsidized medical plan options, an HSA with generous company contribution, a 401(k) with employer match, and paid holidays, wellness time, and vacation increasing with tenure. Paid maternity and bonding leave, company-paid disability and life insurance, FSAs, well-being resources and activities, and a casual dress work environment are also part of our outstanding total rewards package! ___ is an Equal Opportunity Employer In connection with your application, we collect information that identifies, reasonably relates to or describes you (“Personal Information”). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision. Notice To Third Party Agencies: ___ understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with ___, please email your company information and standard agreement to ___.

hatch I.T. is partnering with Expression to find an AI Engineer. See details below: About The Role:Expression is seeking an experienced AI Engineer specializing in Generative AI to support the continued growth of their Data Science Department. In this role, you will design and execute high-impact AI solutions for a wide range of customer applications. The ideal candidate thrives in a highly technical, collaborative environment and is adept at solving complex problems through independent research and innovation. About the Company:Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression’s “Perpetual Innovation” culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review. • Design, build, and deploy generative AI systems tailored to meet customer missions., • Develop end-to-end AI solutions, including problem definition, data preparations, model development, performance evaluation, and deployment., • Continuously optimize the performance of models and systems through iterative improvements., • Collaborate with Program Managers, Subject Matter Experts, Architects, Product Designers, and Data Scientists to translate customer needs into scalable, mission-ready AI solutions., • Conduct research and create prototypes to explore emerging AI technologies and innovative applications., • Demonstrate excellence in Data Science and AI engineering, mentor juniors, and foster innovation., • Bachelor's degree in Computer Science, Data Science, AI, or related discipline., • 3+ years of experience in building and deploying AI/ML models., • 1+ year of experience developing products or functional prototypes using LLMs and RAG technologies., • Expertise in generative AI frameworks such as GAN, GPT, and LangChain., • Advanced knowledge of prompt engineering techniques for generative models., • Proficiency in Python, Java, or equivalent., • Deep understanding of machine learning algorithms., • Strong written and verbal communication skills, with the ability to create design documents, technical reports, and presentations for varied audiences., • Top Secret Clearance Required, • MS or Ph.D. degree in Computer Science, Data Science, AI, or related discipline., • Experience working with cloud platforms (AWS, GCP, Azure) for ML workloads., • Familiarity with tools and practices for data engineering and data management., • Experience in short-release cycles and the full software lifecycle., • Experience with Agile development methodology (Scrum).

BT-69 – Machine Learning Engineer Skill Level: SME Location: McLean (fully on-site, no remote option) * Introduction The organization seeks to develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions. The organization needs experienced AI/ML engineering skills to build tools and analytics that use the organization's structured and unstructured data to yield novel analytic insights, accelerate workflows, enable analysts to surface relevant information from massive data stores. The work will be performed within a team environment. Work Requirements Artificial Intelligence and Machine Learning (AI/ML) Engineering – HRR: NO • The Candidate shall work closely with data scientists and technical team to implement requirements; however, the GTM will manage the priorities., • The Candidate shall leverage open source best-in-class models to create new models—through fine tuning, transfer learning, and more— and ensembles that can be re-purposed and reused, covering the following domains:, • Classification, • Supervised (CNN, Unet, YOLO, or similar), • Unsupervised (DBSCAN, K-Nearest, Adaboost, or similar), • Prediction, • Predictors (LSTM, UConv, or similar), • Regressors (Bayesian, linear, or similar), • Fusion (sensor level and entity level), • Decision making (Task assignments, combinational and parametric optimizations, Reinforcement Learning, Path Planning, or similar), • Generative (LLMs, Stackable LLMs, or similar), • Machine Learning, AI, Deep Learning (TensorFlow, PyTorch), Text, (Classification, NLP, Topic and Language Modeling, Sentiment Analysis, Information Retrieval), Recommender Systems and Personalization, Threat Detection, Computer Vision, Data Mining, Statistics, or similar., • The Candidate shall analyze large amounts of raw data, including text data, to determine utility for training or testing AI models., • The Candidate shall preprocess or clean structured and unstructured data, including text data., • The Candidate shall design and implement advanced ETL code and table configurations for complex data sets., • The Candidate shall use Structured Query Language (SQL) to develop and organize relevant information., • The Candidate shall in cooperation with a team, author analytic publications and produce ad-hoc reports to include data visualizations using templates, and document methods in Github., • The Candidate shall implement the existing coordination process., • The Candidate shall provide technical education to staff on an ad-hoc basis., • The Candidate shall provide subject matter expertise in AI/ML to support initiatives.Required Skills and Demonstrated Experience, • Demonstrated experience tuning neural networks, such as LLMs, on custom data sets and applying results to specific use cases., • Demonstrated professional or academic experience developing models and ensembles in the AI/ML space, including selecting the best Python libraries for a given task, choosing appropriate pre-processing actions, performing analysis, and assessing model performance., • Demonstrated professional or academic experience using Python or R., • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras., • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries., • Demonstrated professional or academic experience with version control systems such as Github and Jenkins., • Demonstrated experience leveraging GPUs for accelerated computing.Highly Desired Skills and Demonstrated Experience, • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub., • Demonstrated experience with cloud computing development and architecture., • Demonstrated experience with front-end web development frameworks such as Flask., • Demonstrated experience creating machine learning models that conduct text classification and topic modeling in Python using standard machine learning (SciKit Learn-) or deep learning models., • Demonstrated experience developing applications for semantic search., • Demonstrated professional or academic experience and proficiency with Tableau to produce visualizations and dashboards., • Demonstrated academic or professional experience communicating methodological choices and model results., • Demonstrated experience with verification and validation test benches., • Demonstrated experience with Explainable AI (XAI) techniques., • Demonstrated experience with ONNX (Open Neural Net Exchange).

At Zantech, we apply state-of-the-art technology to solve our Federal Clients' most mission-critical challenges. We embrace the opportunity to hire individuals with new talents and fresh perspectives. Zantech offers competitive compensation, benefits, and vacation packages in addition to providing you with a fast paced and exciting work environment. Come join our team! Zantech is looking for a talented Data Analyst to support our Federal Client during a cutting-edge enterprise information technology implementation. The Data Analyst will be focused on ensuring the successful migration of existing MS SQL Server databases to PostgreSQL. The candidate will be responsible for optimizing and supporting those databases and migrating them onto an AWS cloud hosting platform. This position will work collaboratively with a team of software developers in support of a government client. Responsibilities include, but not limited to: • Utilize expertise in machine learning tools to select features, create, and optimize classifiers., • Demonstrate collegiate-level writing skills, familiarity with the U.S. Army organization and regulations, and strong organization and communication skills., • Demonstrate a strong data science, machine learning, and statistical modeling background., • Communicate complex technical findings to a variety of audiences. Required Qualifications: • Bachelor’s Degree in related field of study or equivalent experience, • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models, • Active Secret Clearance Preferred Qualifications: • Excellent problem-solving and analytical skills, • Strong communication skills, • Attention to detail and a commitment to delivering high-quality data solutions “Outstanding Performance…Always” Our corporate motto represents our commitment to build long-term relationships with both our clients and our employees by providing the highest quality service in everything we do. We strive for excellence for our clients and for each other.

Description Founded in 2007, Initiate Government Solutions (IGS) a Woman Owned Small Business. We are a fully remote IT services provider that delivers innovative Enterprise IT and Health Services solutions across the federal sector. Our focus is on data analytics, health informatics, cloud migration, and the modernization of federal information systems. IGS uses ISO 9001:2015, 20000-1:2018, 27001:2013, 28001:2007, CMMI/SVC3, CMMI/DEV3 best practices, and PMBOK® methods to provide clients with a strategy to build solid foundations to grow capabilities and revenue. Our range of IT services and delivery methodologies are tailored to our customers’ unique needs to achieve maximum value. IGS is currently recruiting a remote Sr. Solutions Architect to support IGS by supporting company-wide decisions regarding technology. The Sr. Solutions Architect should be well researched and experienced with the latest technology, as well as possess innovative, and effective written, communication and leadership skills. The Senior Solutions Architect supports technology aligned to the overall strategic plan by initiating, planning, designing, and managing staff for technology within IGS and providing recommendations to our customers. The Senior Solutions Architect may lead and support technology decisions for bids and support both the business development and operations efforts through delivery. Assignment of Work and Travel: This is a remote access assignment. The candidate will remotely access IGS systems and therein use approved IGS provided communication systems. Travel for the position is 25% for conferences, meetings and off-site meetings as requested. Responsibilities and Duties (Included but not limited to): • Support the company’s technology strategies, binding it to the overall strategic plan to support operations and business development objectives., • Research and make recommendations on potential selections of new IT technologies., • Review IGS technical environments used for training, solutioning and innovating., • Advise IGS and/or government teams, as well as stakeholders, on the feasibility of future potential projects and IT strategies to advance the customer's IT enterprise and mission., • Work to understand customer needs, validate solutions, and define and create solution diagrams and documents to ensure seamless integration and address all customer priorities, including performance, functionality, ease of use, and security considerations., • Research and develop innovative technologies to implement in the organization., • Evaluation of software specifications, interface specifications, and technical standards to meet business requirements and hardware/software compatibility, • Present to customer/stakeholders’ concepts of IT solutions. This includes oral presentations to customers., • Provide support to the business development team to develop and/or review technical solutions that are cost effective for each proposal that is submitted on behalf of IGS., • Review and make recommendations for data security policies and ensure employees are complying with policies and procedures., • Develop articles or use cases to publish on IGS website., • Support development of material for website coordinating with operations on news and events related to IT., • Support IT training for each technical staff which may include building curriculum and facilitating training sessions., • Manage strategic vendor and technology partner relationships., • Attend industry seminars and conferences., • Promote IGS capabilities with potential partners and customers., • Provide support to generate quotes for any IT application or hardware needed for IGS or for a proposal., • Develop feasibility studies and decision analysis studies providing detailed quantitative and qualitative comparative analysis of technologies, products, and solutions., • Provide expertise and stay up to date on federal IT and security regulations., • Ad Hoc Assignments, • Bachelor’s degree in Computer Science, Engineering, Math, or equivalent scientific or technical discipline; ten (10) years of additional relevant experience may be substituted for education., • Ten (10) years’ technical architecture experience, including a variety of programming languages, platforms, and operating systems., • Prior experience as an engineer overseeing architecture and engineering for enterprise-wide technology platforms., • Broad knowledge of software engineering languages, frameworks, techniques, and industry trends., • Ability to lead technical professionals in a highly collaborative, team-based environment., • Extensive knowledge of and experience with software development lifecycle and processes (Agile, SAFe, DevSecOps, ITIL, ITSM, CMMI, ISO), • Ability to facilitate and lead conversations with key government and non-government stakeholders. o Microsoft Certified: Azure Developer Associate (Az-204) o Microsoft Azure Data Fundamentals (DP-900) o Microsoft Azure AI Engineer Associate o AWS Certified Solutions Architect - Professional o AWS Certified Cloud Practitioner o AWS Certified Data Analytics – Specialty o AWS Certified Machine Learning – Specialty • Ability to support customers during EST hours., • Excellent oral and written communication skills., • Excellent analytical and organizational skills., • Ability to obtain and maintain a Public Trust security clearance. o AWS Certified DevOps Engineer – Professional o AWS Certified Security – Specialty o Open Group Architecture Framework (TOGAF) o Certified Scrum Master • Experience with Federal customers with focus on AI/ML, Data Analytics, Interoperability, and integration in multi-cloud environments, • Must be able to leverage technology and apply critical thinking to gather, aggregate, and analyze data, and present results to senior clients and management, • Ability to make decisions and resolve problems effectively, • Must be able to multi-task, work independently and as part of a team, and deal with sudden shifts in project priorities., • Active Public Trust or higher security clearance, • Integrity, Honesty, and Ethics: We conduct our business with the highest level of ethics. Doing things like being accountable for mistakes, accepting helpful criticism, and following through on commitments to ourselves, each other, and our customers., • Empathy, Emotional Intelligence: How we interact with others including peers, colleagues, stakeholders, and customers’ matters. We take collective responsibility to create an environment where colleagues and customers feel valued, included, and respected. We work within a diverse, integrated, and collaborative team to drive towards accomplishing the larger mission. We conscientiously and meticulously learn about our customers’ and end-users’ business drivers and challenges to ensure solutions meet not only technical needs but also support their mission., • Strong Work Ethic (Reliability, Dedication, Productivity): We are driven by a strong, self-motivated, and results-driven work ethic. We are reliable, accountable, proactive, and tenacious and will do what it takes to get the job done. Benefits: Initiate Government Solutions offers competitive compensation and a robust benefits package, including comprehensive medical, dental, and vision care, matching 401K and profit sharing, paid time off, training time for personal development, flexible spending accounts, employer-paid life insurance, employer-paid short and long term disability coverage, an education assistance program with potential merit increases for obtaining a work-related certification, employee recognition, and referral programs, spot bonuses, and other benefits that help provide financial protection for the employee and their family. Initiate Government Solutions participates in the Electronic Employment Verification Program.