Machine learning jobs in Tampa, FloridaCreate job alerts

$20 - $120/hourpayOpenScadAutoCADCSGAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: OpenScad Expert Job Type: Contract Location: Remote Job Summary: Join our customer's team as an OpenScad Expert and play a pivotal role in crafting advanced parametric CAD models from initial concept through final export. You’ll showcase your professional expertise in OpenSCAD, documenting your full workflow and design rationale while contributing to projects that shape the future of AI-driven design intelligence. Key Responsibilities: • Lead end-to-end OpenSCAD projects, from requirements gathering to final model export for manufacturing or prototyping purposes., • Structure and document OpenSCAD scripts, defining robust parameters and reusable modules for efficient parametric design., • Utilize Constructive Solid Geometry (CSG) techniques to build complex 3D models and perform 2D-to-3D extrusions., • Iterate rapidly on parametric models, demonstrating logical script-driven decision-making and engineering reasoning throughout the process., • Prepare and export files in STL, OFF, or other standard formats, ensuring compatibility with downstream manufacturing workflows., • Collaborate closely with multidisciplinary teams, providing detailed written and verbal explanations of your design process., • Help shape AI learning by transparently revealing the professional thought process, trade-offs, and technical choices made during project execution. Required Skills and Qualifications: • Extensive hands-on experience with OpenSCAD, including completion of full projects from initial concept to final export., • Strong knowledge of CAD fundamentals and CSG methodologies., • Proficiency in AutoCAD or comparable CAD software tools., • Proven ability to create, document, and optimize reusable OpenSCAD modules and parametric scripts., • Exceptional written and verbal communication skills, with a focus on clarity and detailed technical explanation., • Demonstrated capability to work independently in a remote environment while supporting collaborative project goals., • Meticulous attention to engineering decisions and the logical progression of design tasks. Preferred Qualifications: • Experience exporting and preparing models specifically for additive manufacturing or rapid prototyping., • Background in teaching, mentoring, or contributing to OpenSCAD or CAD user communities., • Comfort with documenting workflows for AI or machine learning applications.

Technical Account Manager – Enterprise Data, AI & Cloud Location: On-site in our Downtown Tampa Office Role Overview The Technical Account Manager (TAM) is responsible for owning and expanding enterprise and mid-market client relationships across the Data, AI, and Cloud technology ecosystem. This role sits at the intersection of enterprise account management, technical advisory, and delivery leadership. The TAM acts as a trusted partner to client stakeholders, translating complex technical hiring needs into effective talent solutions while driving sustained account growth and revenue performance. Success in this role requires a senior staffing professional who can combine technical market credibility, enterprise relationship management, and strong commercial performance to grow strategic accounts and deliver high-value technical talent. This role owns client relationships, revenue performance, and account growth for assigned accounts and newly developed business. Revenue & Performance Expectations • Annual Gross Profit Target: $1.2M – $1.8M GP, • Expected Account Portfolio: $3M – $5M in managed or developed client accounts, • Account Development Requirement: Demonstrated ability to build and scale accounts from $0 to $2M+ annual revenue, • Deal Mix: Contract staffing, contract-to-hire, and permanent placements across technical roles, • Delivery Model: Partner with internal recruiting teams to execute high-volume and specialized technical hiring, • Full ownership of account strategy, client engagement, and revenue outcomes within assigned portfolio Key Responsibilities Enterprise Account Ownership • Own and manage relationships with enterprise and mid-market clients hiring within Data, AI, and Cloud technology environments, • Develop long-term partnerships with hiring managers, directors, and executive stakeholders, • Serve as the primary client contact for technical hiring strategy and delivery execution Account Growth & Revenue Development • Identify and pursue expansion opportunities within existing client organizations, • Build strategic hiring partnerships that generate recurring revenue streams, • Successfully scale new client relationships from initial engagement to $2M+ annual revenue accounts, • Maintain strong pipeline visibility and forecast revenue performance against annual GP targets Technical Market Advisory • Provide consultative guidance on technical hiring strategies across the modern data stack, • Advise clients on compensation trends, market availability, and hiring timelines for specialized technical talent, • Maintain fluency across Data Engineering, AI/ML, Cloud Architecture, and modern data platform roles Delivery Leadership • Partner with internal recruiting teams to ensure consistent delivery quality across assigned accounts, • Lead role intake discussions and technical requirement calibration with client stakeholders, • Ensure candidate pipelines align with client expectations for technical capability and experience Market Expertise • Maintain strong understanding of the modern data and cloud technology landscape including platforms such as AWS, Azure, Databricks, and Snowflake, • Stay current on emerging skill sets across Data Engineering, Machine Learning, Analytics Engineering, and Cloud Infrastructure Required Qualifications • 10+ years of experience in technical staffing, talent solutions, or enterprise recruiting environments, • Proven success managing enterprise client relationships within technical hiring environments, • Demonstrated experience supporting roles across Data, AI, Cloud, or modern data platform ecosystems, • Proven experience filling Engineering, Architecture, and Senior IT Leadership roles within enterprise technology environments, • Track record of building and scaling client accounts from $0 to at least $2M in annual revenue, • Strong commercial mindset with experience meeting or exceeding individual GP or revenue targets, • Ability to operate as a trusted advisor to senior client stakeholders Preferred Experience • Experience working with enterprise consulting firms, system integrators, or technology partners within the data ecosystem, • Familiarity with hiring across modern data platform roles including:, • Data Engineers, • Machine Learning Engineers, • Cloud Architects, • Analytics Engineers, • Data Platform Engineers, • Technical Directors and Senior IT Leadership roles Key Success Metrics • Annual GP performance against $1.2M–$1.8M revenue target, • Growth and expansion of enterprise client accounts, • Successful development of $2M+ revenue accounts, • Client satisfaction and retention, • Consistent delivery of high-quality technical placements Compensation Range: $100,000-$120,000 base salary + commission *Base salary is dependent on experience and tenure. On target earnings are can vary based on performance. Benefits: Medical, Dental, Vision, 401k options, Long and Short Term Disability, Life Insurance, and 22 days of PTO year 1! This is not an HR or Internal recruitment opportunity. This role is a sales-based role working to achieve sales-based results! This vacancy is for a permanent, full-time role based in the US. Applicants must have independent legal authorization to live and work in the US. It is the policy of Tenth Revolution Group to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law. Find out more about a career in recruitment with Tenth Revolution Group and join us on our incredible adventure:

Job Title: Gen AI Engineer (with Agentic AI Exposure)Location: Tampa, FL / New York, NYEmployment Type: Full-Time Job OverviewWe are seeking a highly skilled Gen AI Engineer with experience in Agentic AI systems to design, build, and deploy end-to-end AI/ML solutions. This role focuses on developing intelligent applications using Python and modern AI frameworks such as LangChain, PyTorch, and TensorFlow, with a strong emphasis on LLM-powered, autonomous, and scalable AI systems.The ideal candidate has hands-on experience delivering production-grade AI solutions—including generative AI applications, machine learning models, automation pipelines, and AI-driven integrations—while collaborating closely with cross-functional teams. Required Skills QualificationsStrong hands-on experience with Python for AI/ML and backend development.Proficiency in PyTorch, TensorFlow, or similar deep learning frameworks.Experience building LLM-based applications using LangChain and prompt orchestration frameworks.Knowledge of vector databases and embedding technologies such as FAISS, Chroma, Pinecone, or equivalents.Ability to design and implement end-to-end ML pipelines (training, validation, deployment).Strong understanding of machine learning fundamentals, NLP, and deep learning architectures.Experience with APIs, microservices, and cloud-based deployment environments.Excellent analytical, debugging, and problem-solving skills. Key ResponsibilitiesDesign, develop, and optimize machine learning and deep learning models using PyTorch, TensorFlow, and related frameworks.Implement and fine-tune NLP models and architectures for real-world applications.Build and deploy LLM-powered applications using LangChain, embeddings, vector databases, and prompt orchestration techniques.Develop agentic AI workflows, including multi-step reasoning, tool calling, memory, and autonomous task execution.Develop scalable backend services, APIs, and automation tools using Python.Integrate AI models into enterprise applications and workflows.Prepare, transform, and manage large datasets for training and inference.Build feature engineering pipelines, model training workflows, and evaluation pipelines.sDeploy models into production environments using REST APIs, Docker, CI/CD, and cloud platforms.Monitor model performance, reliability, and scalability in production.Perform model evaluation, tuning, and performance optimization to ensure accuracy, efficiency, and robustness.Implement feedback loops for continuous improvement of AI systems.Partner with product managers, engineers, and business stakeholders to translate requirements into AI-driven technical solutions.Provide technical guidance and AI expertise throughout the development lifecycle.Stay up to date with emerging AI, generative AI, and agentic frameworks.Prototype and evaluate new tools, techniques, and architectures to drive innovation. Preferred QualificationsExposure to or hands-on experience with Agentic AI systems (autonomous agents, tool usage, memory, multi-agent workflows).Experience with cloud platforms (AWS, Azure, or GCP).Familiarity with MLOps tools and best practices.Background in scalable, production-grade AI systems.The base compensation range for this role in the posted location is: $96000 - $115000Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. DisclaimersCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Intrepid Prosperity is seeking a Data Scientist to support a high-priority U.S. Special Operations Command (USSOCOM) program at MacDill Air Force Base in Tampa, FL. This role is embedded within the command's data and analytics mission, delivering actionable intelligence and decision support to special operations forces worldwide. You will apply advanced analytical techniques, machine learning, and statistical modeling to large-scale defense datasets. This position requires an active TS/SCI security clearance. Responsibilities: • Develop and deploy predictive models, NLP pipelines, and classification algorithms for intelligence datasets, • Build automated data ingestion, transformation, and enrichment workflows, • Create interactive dashboards and visualizations for operational decision-makers, • Collaborate with military analysts, data engineers, and mission planners, • Translate complex analytical findings into clear, actionable briefings Required Qualifications: • Active TS/SCI security clearance (non-negotiable), • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related STEM field, • 3+ years of experience in data science, machine learning, or advanced analytics, • Proficiency in Python, R, or Scala with ML libraries (scikit-learn, TensorFlow, PyTorch), • Experience with SQL and large-scale data platforms (Hadoop, Spark, Databricks), • Strong communication skills for technical and non-technical audiences Preferred Qualifications: • Master's or Ph.D. in a quantitative discipline, • Experience supporting DoD, IC, or SOCOM missions, • Familiarity with NLP, computer vision, or geospatial analytics, • Knowledge of DevSecOps practices and CI/CD pipelines Location: MacDill AFB, Tampa, FL (On-site) Clearance: TS/SCI Required Employment: Full-time Intrepid Prosperity is a veteran-owned staffing firm specializing in cleared technical talent for the defense and intelligence community. We are an Equal Opportunity Employer.

The Vice President, Actuarial Services (FCAS required) is responsible for leading actuarial analysis, risk assessment, and data analysis across the company’s insurance offerings, including programs structured through alternative insurance arrangements and other alternative risk transfer mechanisms. This position plays a key role in shaping actuarial pricing strategy, guiding reserving practices, and supporting the development and oversight of both traditional and captive-based insurance solutions. FCAS designation is required; however, ACAS candidates with significant Property & Casualty insurance experience may be considered. The ideal candidate holds the Fellow of the Casualty Actuarial Society (FCAS) designation, or is an Associate of the Casualty Actuarial Society (ACAS) with substantial relevant experience, and has deep experience in Property and Casualty (P&C) insurance, with strong capabilities in experience analysis, assumption setting, actuarial loss modeling, and reserve evaluation. The role involves close collaboration with underwriting, finance, and program management to ensure pricing and risk strategies are analytically sound and aligned with regulatory, operational, and client-specific goals. Key responsibilities include: • Developing and refining pricing methodologies for standard and alternative insurance programs, • Conducting feasibility studies and ongoing actuarial evaluations, • Supporting product development, financial planning, and business forecasting, • Performing loss reserving analysis and adequacy testing Primary Responsibilities: Strategic Collaboration & Business Planning • Partner with executive leadership to define pricing strategy, capital management, and enterprise risk frameworks, • Lead actuarial pricing and reserving support for insurance programs, including feasibility assessments and ongoing performance monitoring, • Work closely with underwriting and finance to develop captive structures aligned with risk profiles and financial goals, • Analyze captive program performance and recommend adjustments to retention levels, premium allocations, and risk-sharing mechanisms, • Prepare actuarial documentation for regulatory filings, governance reports, and audits, • Promote the adoption of predictive modeling, machine learning, and automation within actuarial workflows, • Ensure alignment with regulatory requirements and actuarial standards of practice, • Mentor and develop actuarial team members; lead training, knowledge sharing, and planning initiatives, • Collaborate across departments and step into emerging needs by supporting new initiatives, evolving responsibilities, and other strategic tasks as assigned by leadership. Job Requirements & Qualifications: • ACAS and FCAS designation required, • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, or a related quantitative discipline, • MAAA membership preferred, • Minimum 7–10 years of actuarial experience in P&C insurance, including pricing, reserving, or product development, • Experience with captive and alternative insurance programs, including feasibility studies and premium allocation, strongly preferred, • Leadership or people management experience preferred, with a demonstrated ability to mentor actuarial talent, • In-depth knowledge of Workers’ Compensation products strongly preferred, • Familiarity with state-level rate filings and insurance regulatory frameworks, • Experience engaging with external consultants, auditors, and regulators, • Advanced Microsoft Excel proficiency, including pivot tables, data modeling, and VBA/macros, • Skilled in actuarial/statistical software such as SAS, R, Python, SQL, or Emblem; experience with predictive modeling or machine learning is a plus, • Comfortable working with large datasets and translating complex analyses into actionable business insights, • Familiarity with business intelligence platforms such as Power BI is advantageous, • Strong analytical and strategic thinking skills, with the ability to balance technical rigor and practical impact, • Excellent communication skills, capable of presenting complex actuarial findings to both technical and executive-level audiences, • Demonstrated success leading cross-functional initiatives in a matrixed or enterprise environment, • High level of integrity, accountability, and a results-driven approach Work from Home Requirements: • An internet connection, via cable or fiber, that can support 300Mbps down and 10Mbps up. A wired (Ethernet) connection to the internet is preferred for best performance., • A workstation, desk, or table that is ergonomically suitable for the employee's physical needs, (standing, sitting, etc.). This workspace must support at least two 24" displays, a laptop, a docking station, a keyboard, and a mouse. Teleworkers must be reachable while teleworking during the employees’ regularly scheduled hours. Methods of communication include email accounts, voice calls, and messages using company-issued iPhones, Microsoft Office Teams, and other appropriate department tools and equipment. Teleworkers are expected to attend all virtual scheduled meetings with their cameras on as much as possible. Additionally, any calls and/or voicemails will be answered in a timely manner. Benefits: • 401(k), • 401(k) matching, • Dental insurance, • Flexible schedule, • Flexible spending account, • Paid time off

Hybrid in Tampa, FL. Remote candidates willing to travel are welcome; travel is ~50% during ramp-up, decreasing to a few days per month. Reports to: Managing Partner / CEO KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a VP of Product – Next-Gen TEM Platform (AI-Driven) Client Summary: The company is building a next-generation Telecom Expense Management (TEM) platform — a modern, AI-enhanced solution that goes far beyond traditional expense management. With an existing and growing customer base, including enterprise-level interest, the organization is entering a major scaling phase focused on product innovation, automation, intelligence, and enterprise-grade capabilities. Originally developed to solve real-world customer challenges, the platform has evolved into a differentiated solution with active users and strong market demand, including white-label opportunities. This is an opportunity to help modernize and disrupt a legacy, fragmented market with a data-driven, AI-enabled approach. Role Summary: We are seeking a hands-on, strategic VP of Product to lead the full vision, strategy, and execution of a next-generation TEM platform. This is a true player-coach role — you will drive the product roadmap, work closely with engineering and design teams, and help build and scale a high-performing product organization. This role operates at the intersection of product, technology, and business ownership. You will own the end-to-end product experience, help define monetization and go-to-market strategies, and act as the business leader for this platform as it scales into a high-growth SaaS offering. You will play a critical role in transforming an already validated product into a category-leading platform. Key Responsibilities • Own the complete product vision, strategy, and roadmap for a next-generation TEM platform, including evolution from services-supported delivery to a scalable SaaS and white-label model., • Define and prioritize features, enhancements, and capabilities that deliver significant value to enterprise customers across IT, finance, and procurement personas., • Leverage and stay deeply educated on AI technologies (machine learning, generative AI, agentic workflows, OCR/NLP, predictive analytics) to enhance platform intelligence and accelerate product development., • Translate complex business requirements into product requirements, user stories, and technical execution plans; partner closely with engineering to drive sprint execution., • Lead and scale a cross-functional team (Product, Design, Engineering, QA), with the ability to ramp teams quickly as product demand grows., • Partner closely with sales and marketing teams on go-to-market strategy, pricing, packaging, and deal support across direct and partner/white-label channels., • Engage directly with customers to gather feedback, validate product direction, and refine user experience; incorporate both formal and informal feedback loops., • Champion product excellence across UX/UI, platform architecture, scalability, and multi-tenant design., • Build and evolve product processes, governance, and documentation as the organization scales., • Own key product metrics including adoption, retention, revenue impact, and customer satisfaction., • Act as a visible leader and “face of the product” internally and externally., • Operate as a true player-coach—remaining hands-on while mentoring and building the product team., • Identify and evaluate expansion opportunities into adjacent cost management domains over time. Requirements: • Bachelor's degree required; MBA or advanced degree is a plus., • 10+ years of product management experience, with 4-5+ years in a senior leadership role (VP/Head of Product or equivalent)., • Strong, hands-on experience in Telecom Expense Management (TEM) is required. Candidates must bring a deep understanding of telecom environments, carrier ecosystems, billing structures, and end-user personas., • Experience with leading TEM platforms (e.g., Tangoe, Calero, or similar) and direct exposure to telecom estate management, invoice auditing, and optimization workflows is strongly preferred., • Proven track record of building and scaling complex B2B SaaS platforms from early stage through growth., • Experience operating in a zero-to-one or early-scale environment with high ownership and limited initial resources., • Deep experience leveraging AI technologies to enhance product capabilities and drive efficiency., • Strong understanding of enterprise customer needs across IT, finance, procurement, and operations., • Experience defining pricing models, packaging strategies, and SaaS monetization approaches., • Strong technical acumen and experience working closely with engineering teams in agile environments., • Experience with data-intensive platforms, including ingestion and normalization of structured/unstructured data., • Strong analytical and data-driven decision-making skills., • Excellent communication and stakeholder management skills - with the ability to influence, • Entrepreneurial mindset with high ownership, urgency, and accountability. What We Offer • Competitive base salary + performance bonus, • Meaningful equity package (significant upside as the platform scales), • Comprehensive benefits (health, dental, vision, 401k, etc.), • Hybrid work model in downtown Tampa with flexibility for remote with travel, • High-visibility role with direct impact on company trajectory, • Opportunity to build the future of TEM alongside a talented technical team Compensation depends on experience but is typically $180-225K plus 20% bonus & equity potential ABOUT KORE1 Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies. Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. 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. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft (___) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. We're looking for an experienced Principal ML OpsEngineer to support our customers and join our passionate team of high-impact problem solvers. About the role: Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making. Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments. In this role, you will help design, deploy, and mature Raft's ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models. • Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems, • Help mature Raft's internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support, • Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters, • Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems, • Build and maintain CI/CD workflows for ML services, model artifacts, and platform components, • Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment, • Improve observability, reliability, security, and maintainability across ML infrastructure and services, • Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads, • Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments, • Support compliance-driven deployment practices and secure software supply chain requirements in defense environments, • Get hands-on with customers at the most forward-leaning places in the Department of War What we are looking for: • 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles, • 5+ years of experience with Docker and Kubernetes in production environments, • 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments, • Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production, • Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams, • Practical experience deploying machine learning workloads on Kubernetes, • Experience managing clusters or workloads that use GPUs, • Strong understanding of Helm and Kubernetes deployment patterns, • Strong scripting or programming skills, preferably in Python, • Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows, • Strong troubleshooting, systems thinking, and communication skills, • Ability to work independently and collaboratively in a fast-moving environment, • Ability to obtain and maintain a Top Secret clearance, • Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies, • Experience with secure and compliant deployment practices in regulated or government environments, • Experience with Kubernetes-based ML platforms such as Kubeflow, • Familiarity with service mesh technologies such as Istio, • Experience provisioning and debugging complex CI/CD systems, • Experience with infrastructure as code tools such as Terraform, • Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning, • Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge, • Background working with machine learning engineers on model training, evaluation, packaging, and release workflows, • Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog system, • You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production, • ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use, • Model deployments become more secure, observable, and supportable across real-world mission environments, • Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY, • May require up to 40% travel Salary Range: $150,000.00 - $200,000.00 What we will offer you: • Highly competitive salary, • Fully covered healthcare, dental, and vision coverage, • 401(k) and company match, • Take as you need PTO + 11 paid holidays, • Education & training benefits, • Annual budget for your tech/gadgets needs, • Monthly box of yummy snacks to eat while doing meaningful work, • Remote, hybrid, and flexible work options, • Team off-site in fun places!, • Generous Referral Bonuses We bridge the gap between humans and data through radical transparency and our obsession withthemission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking,and collaboration is a norm. Raft's core philosophy isUbuntu: IAm, BecauseWe are. We support our"nadi"by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft (___) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. We're looking for anAI/ML Engineerto support our customers and join our passionate team of high-impact problem solvers. About the role: In your role as anAI/ML Engineer,you will collaborate with a cross-functional data team comprising of DevSecOps engineers, Product Owners, Data Engineers and Data Scientists. Your primary responsibility will be to develop machine learning models that are integral to a larger pipeline delivering value to our end customers. What we are looking for: • 3+ years of relevant hands-on experience, or a PhD in a related field with demonstrated practical application, • Practical experience in Machine Learning models and Software Engineering, • A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams, • Experience building and maintaining machine learning platforms and pipelines, • Experience in building machine learning models, and, • Experience in using data processing frameworks (Apache Spark preferred), • Practical programming and scripting skills (Python preferred), • Fast learner, analytical thinker, creative, hands-on, strong communication skills, • Able to work both independently and as part of a team, • Excellent problem-solving skills and attention to detail., • Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps, • PhD graduate Ability to obtaina Top Secret clearance with potential for SCI Salary Range: $125,000.00 - $200,000.00 • Can work remotely from any of the following locations: Tampa FL, Hanscom AFB, Colorado Springs CO, San Diego CA, Tacoma WA, NCR (DC), • Highly competitive salary, • Fully covered healthcare, dental, and vision coverage, • 401(k) and company match, • Take as you need PTO + 11 paid holidays, • Education & training benefits, • Annual budget for your tech/gadgets needs, • Generous Referral Bonuses We bridge the gap between humans and data through radical transparency and our obsession withthemission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking,and collaboration is a norm. Raft's core philosophy isUbuntu: IAm, BecauseWe are. We support our"nadi"by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Web Design is a critical function within the command to ensure proper support of Web Services and to maintain SharePoint sites. This position with Amentum is to support the United States Central Command J28 Artificial Intelligence/Machine Learning Division through the design and management of CENTCO

Our program supports unclassified and classified software development and integration services.Some of the work we will do is brand new Big Data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics, while other work will be refining and improving legacy develop

Description Leidos has an immediate need for a highly skilled and versatile Data Engineer, Sr. to drive the massive data discovery and classification effort for the Zero Trust initiative at U.S. Special Operations Command (USSOCOM). Before data can be protected, it must be found and understood. You will be responsible for illuminating "dark data" across the Command's complex information environment, ranging from hyperscale cloud data lakes on NIPR to legacy file shares and isolated storage arrays on the SIPR and Top-Secret networks. As a Data Engineer, Sr., you will architect and manage the deployment of advanced discovery platforms, specifically BigID and NetApp BlueXP. You will configure these tools to crawl petabytes of structured (SQL/Oracle), semi-structured (logs/NoSQL), and unstructured (SharePoint/File Shares) data. Your primary mission is to build the "Global Data Inventory"-a dynamic, real-time map of where sensitive CUI and classified intelligence resides-enabling the security teams to apply precision protection. You will use your knowledge of data pipelines and storage infrastructure to ensure that scanning operations provide 100% visibility without degrading network performance. Responsibilities: * Data Discovery Architecture: Deploy and manage BigID and NetApp BlueXP scanners across hybrid environments, including configuring dockerized collectors for air-gapped discovery on the Top-Secret network. * Structured Data Mapping: Connect discovery tools to enterprise databases (SQL Server, Oracle, PostgreSQL) to scan schemas and columns for PII, DoD ID numbers, and other sensitive indicators without impacting database performance. * Unstructured Data Crawling: Configure scans for massive file repositories (NetApp NAS, QNAP, SharePoint On-Premises), optimizing scan windows and throttling to prevent latency for mission users. * Cloud Data Integration: Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets, Azure Blobs, and Data Lakes. * Classification Tuning: Collaborate with mission owners to train Machine Learning (ML) classifiers to recognize unique USSOCOM data types (e.g., mission names, operational codes) and reduce false positive rates in the data inventory. Qualifications: Security Clearance: Active Top-Secret clearance with SCI eligibility (TS/SCI). Education: Master's degree in Systems Engineering, Computer Science, Cybersecurity, Electrical Engineering, or a related technical field. Experience: 10+ years of prior relevant experience. Certification: CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements. Preferred Qualifications: Preferred Experience/Skills: * Experience with Microsoft Purview Data Map (formerly Azure Purview). * Knowledge of Regex for custom data pattern definition. * Background in Data Engineering or ETL pipeline development. * Familiarity with USSOCOM network architecture and storage standards. Preferred Certifications: * Certified Kubernetes Administrator (CKA). * Azure Data Engineer Associate or BigID Certified Professional. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. March 12, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job DescriptionDescription: Athenix Special Missions is seeking a Data Engineer, Zero Trust Program (USSOCOM) - Journeyman in MacDill Air Force Base (Tampa), Florida! ASM Quality Policy: To meet or exceed our customers’ expectations for quality, delivery, and service through continual improvement, striving to meet our objectives, and committing to meeting all legal and statutory requirements Must be a U.S. Citizen Location: MacDill AFB, Florida Clearance Requirement: Active DoD TS/SCI Clearance We are seeking a highly technical Data Engineer to drive the massive data discovery and classification effort for the Zero Trust initiative at U.S. Special Operations Command (USSOCOM). Before data can be protected, it must be found and understood. You will be responsible for illuminating "dark data" across the Command’s complex information environment, ranging from hyperscale cloud data lakes on NIPR to legacy file shares and isolated storage arrays on the SIPR and Top-Secret networks. As a Data Engineer, you will architect and manage the deployment of advanced discovery platforms, specifically BigID and NetApp BlueXP. You will configure these tools to crawl petabytes of structured (SQL/Oracle), semi-structured (logs/NoSQL), and unstructured (SharePoint/File Shares) data. Your primary mission is to build the "Global Data Inventory"—a dynamic, real-time map of where sensitive CUI and classified intelligence resides—enabling the security teams to apply precision protection. You will use your knowledge of data pipelines and storage infrastructure to ensure that scanning operations provide 100% visibility without degrading network performance. Responsibilities • Data Discovery Architecture: Deploy and manage BigID and NetApp BlueXP scanners across hybrid environments, including configuring dockerized collectors for air-gapped discovery on the Top-Secret network., • Structured Data Mapping: Connect discovery tools to enterprise databases (SQL Server, Oracle, PostgreSQL) to scan schemas and columns for PII, DoD ID numbers, and other sensitive indicators without impacting database performance., • Unstructured Data Crawling: Configure scans for massive file repositories (NetApp NAS, QNAP, SharePoint On-Premises), optimizing scan windows and throttling to prevent latency for mission users., • Cloud Data Integration: Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets, Azure Blobs, and Data Lakes., • Classification Tuning: Collaborate with mission owners to train Machine Learning (ML) classifiers to recognize unique USSOCOM data types (e.g., mission names, operational codes) and reduce false positive rates in the data inventory.Requirements: Minimum Clearance Required to Start • Data Discovery Expertise: Proven experience deploying and managing enterprise data discovery and governance platforms such as BigID, Varonis, NetApp BlueXP (Data Sense), or Informatica., • Storage & Database Knowledge: Strong understanding of storage protocols (NFS, SMB/CIFS, S3) and database structures (SQL, NoSQL) to troubleshoot connectivity and scanning access., • Containerization: Proficiency with Kubernetes and Docker, as many modern discovery collectors are deployed as containerized microservices., • Data Handling: Experience dealing with large-scale data inventories (Petabyte scale) and understanding of data lineage and provenance concepts., • Journeyman, • Education: BA/BS or MA/MS, • Years Exp: 3-10, • Experience with Microsoft Purview Data Map (formerly Azure Purview)., • Knowledge of Regex for custom data pattern definition., • Background in Data Engineering or ETL pipeline development., • Required: CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements., • Preferred: Certified Kubernetes Administrator (CKA)., • Preferred: Azure Data Engineer Associate or BigID Certified Professional. Why Athenix Special Missions? Athenix Special Missions is a world leader in designing, building, and developing realistic training exercises for Special Operations, conventional forces, and partner nations. Our experience ranges from planning individual team training events to executing 2,000-person joint exercises. Our mission-tailored solutions include tactical and strategic training events and exercises and often integrate live forces with virtual and constructive training domains. By bringing together the right combination of subject-matter expertise, domain insight, and advanced technology, we help improve mission readiness, increase situational awareness, and enhance performance. Equal Opportunity Employer, including disability and protected veteran status

Job DescriptionDescription: Athenix Special Missions is seeking a Data Engineer, Zero Trust Program (USSOCOM) - Senior Position in MacDill Air Force Base (Tampa), Florida! ASM Quality Policy: To meet or exceed our customers’ expectations for quality, delivery, and service through continual improvement, striving to meet our objectives, and committing to meeting all legal and statutory requirements Must be a U.S. Citizen Location: MacDill AFB, Florida Clearance Requirement: Active DoD TS/SCI Clearance We are seeking a highly technical Data Engineer to drive the massive data discovery and classification effort for the Zero Trust initiative at U.S. Special Operations Command (USSOCOM). Before data can be protected, it must be found and understood. You will be responsible for illuminating "dark data" across the Command’s complex information environment, ranging from hyperscale cloud data lakes on NIPR to legacy file shares and isolated storage arrays on the SIPR and Top-Secret networks. As a Data Engineer, you will architect and manage the deployment of advanced discovery platforms, specifically BigID and NetApp BlueXP. You will configure these tools to crawl petabytes of structured (SQL/Oracle), semi-structured (logs/NoSQL), and unstructured (SharePoint/File Shares) data. Your primary mission is to build the "Global Data Inventory"—a dynamic, real-time map of where sensitive CUI and classified intelligence resides—enabling the security teams to apply precision protection. You will use your knowledge of data pipelines and storage infrastructure to ensure that scanning operations provide 100% visibility without degrading network performance. Responsibilities • Data Discovery Architecture: Deploy and manage BigID and NetApp BlueXP scanners across hybrid environments, including configuring dockerized collectors for air-gapped discovery on the Top-Secret network., • Structured Data Mapping: Connect discovery tools to enterprise databases (SQL Server, Oracle, PostgreSQL) to scan schemas and columns for PII, DoD ID numbers, and other sensitive indicators without impacting database performance., • Unstructured Data Crawling: Configure scans for massive file repositories (NetApp NAS, QNAP, SharePoint On-Premises), optimizing scan windows and throttling to prevent latency for mission users., • Cloud Data Integration: Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets, Azure Blobs, and Data Lakes., • Data Discovery Expertise: Proven experience deploying and managing enterprise data discovery and governance platforms such as BigID, Varonis, NetApp BlueXP (Data Sense), or Informatica., • Storage & Database Knowledge: Strong understanding of storage protocols (NFS, SMB/CIFS, S3) and database structures (SQL, NoSQL) to troubleshoot connectivity and scanning access., • Containerization: Proficiency with Kubernetes and Docker, as many modern discovery collectors are deployed as containerized microservices., • Data Handling: Experience dealing with large-scale data inventories (Petabyte scale) and understanding of data lineage and provenance concepts., • Senior, • Education: MA/MS, • Years: 10+, • Experience with Microsoft Purview Data Map (formerly Azure Purview)., • Knowledge of Regex for custom data pattern definition., • Background in Data Engineering or ETL pipeline development., • Required: CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements., • Preferred: Certified Kubernetes Administrator (CKA)., • Preferred: Azure Data Engineer Associate or BigID Certified Professional. Why Athenix Special Missions? Athenix Special Missions is a world leader in designing, building, and developing realistic training exercises for Special Operations, conventional forces, and partner nations. Our experience ranges from planning individual team training events to executing 2,000-person joint exercises. Our mission-tailored solutions include tactical and strategic training events and exercises and often integrate live forces with virtual and constructive training domains. By bringing together the right combination of subject-matter expertise, domain insight, and advanced technology, we help improve mission readiness, increase situational awareness, and enhance performance. Equal Opportunity Employer, including disability and protected veteran status

Job Description Join a high-impact engineering team at AEVEX Aerospace working at the intersection of robotics, computer vision, and resilient navigation. As a summer intern, you'll support real-world projects focused on enabling autonomous systems to navigate confidently in environments where GPS is degraded or denied. This internship offers hands-on experience across the full development cycle—from sensor data collection and algorithm prototyping to hardware integration and live flight testing. We are seeking a highly motivated engineering student to join our team for the summer. As an intern, you will have the opportunity to work on cutting-edge research and development in robotics, autonomous navigation, and sensor fusion. You will contribute to real-world projects, applying your skills in algorithm design, machine learning, and embedded systems to enhance autonomy in challenging conditions. Essential Functions • Assist in the development and testing of software for sensor data acquisition and multi-sensor fusion (e.g., IMUs, cameras, GNSS, LiDAR), • Support integration of novel navigation hardware and software onto AEVEX platforms, including embedded systems and edge devices, • Participate in test and evaluation campaigns, including live flight tests at AEVEX test facilities, • Conduct data reduction and analysis during and after flight testing to validate system performance, • Prototype and validate computer vision or deep learning-based techniques for localization, mapping, and estimation, • Contribute to simulations and software testing using environments like ROS, Gazebo, or CARLA, • Collaborate with engineers in autonomy, perception, and embedded systems across defense and aerospace applications, • Regular and reliable attendance on a full time basis [or in accordance with posted schedule]., • Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices., • Embodies AEVEX's cultural values and aligns daily actions with department goals and company culture. Qualifications • Familiarity with navigation algorithms, Kalman filtering, or SLAM is a plus, • Exposure to embedded platforms (e.g., NVIDIA Jetson) or real-time sensor systems is highly valued, • Comfortable working with both software tools and physical hardware The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: • Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

Job Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. We're looking for an AI/ML Engineer to support our customers and join our passionate team of high-impact problem solvers. About the role: In your role as an AI/ML Engineer, you will collaborate with a cross-functional data team comprising of DevSecOps engineers, Product Owners, Data Engineers and Data Scientists. Your primary responsibility will be to develop machine learning models that are integral to a larger pipeline delivering value to our end customers. What we are looking for: • 3+ years of relevant hands-on experience, or a PhD in a related field with demonstrated practical application, • Practical experience in Machine Learning models and Software Engineering, • A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams, • Experience building and maintaining machine learning platforms and pipelines, • Experience in building machine learning models, and, • Experience in using data processing frameworks (Apache Spark preferred), • Practical programming and scripting skills (Python preferred), • Fast learner, analytical thinker, creative, hands-on, strong communication skills, • Able to work both independently and as part of a team, • Excellent problem-solving skills and attention to detail., • Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps, • PhD graduate Ability to obtain a Top Secret clearance with potential for SCI Salary Range: $125,000.00 - $200,000.00 • Can work remotely from any of the following locations: Tampa FL, Hanscom AFB, Colorado Springs CO, San Diego CA, Tacoma WA, NCR (DC), • Highly competitive salary, • Fully covered healthcare, dental, and vision coverage, • 401(k) and company match, • Take as you need PTO + 11 paid holidays, • Education & training benefits, • Annual budget for your tech/gadgets needs, • Generous Referral Bonuses We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft's core philosophy is Ubuntu: I Am, Because We are. We support our "nadi" by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job DescriptionWe are seeking a highly skilled Python Data Engineer / Data Scientist with Node.js experience to join our team in Tampa, FL. The ideal candidate will have strong expertise in building scalable data pipelines, developing backend services using Node.js, and delivering data-driven solutions using modern data and cloud technologies. Title: Data Engineer/Daat Science with Python and NodejsLocation: Tampa, FL- OnsiteDuration : Fulltime with Incedo Required Skills• 3+ years of experience in Data Engineering / Data Science• Strong programming experience in Python• Hands-on experience with Node.js for backend/API development• Strong experience with SQL and relational databases (PostgreSQL, MySQL, etc.)• Experience with data engineering tools (Airflow, Spark, Kafka)• Knowledge of cloud platforms (AWS, Azure, or GCP)• Experience with data warehousing (Snowflake, Redshift, BigQuery)• Experience building and consuming REST APIs / Microservices• Familiarity with ETL/ELT pipelines• Strong understanding of data structures and algorithms Preferred Skills· Experience in Machine Learning / Data Science (scikit-learn, TensorFlow, PyTorch)· Experience integrating Node.js services with data pipelines· Knowledge of data visualization tools (Tableau, Power BI)· Experience with big data technologies (Hadoop, Hive)· Understanding of CI/CD pipelines and DevOps· Experience in Agile environments

Job Description This is a U.S. based position. All of the programs we support require U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. Who we are: Raft () is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans. We're looking for an experienced Principal ML Ops Engineer to support our customers and join our passionate team of high-impact problem solvers. About the role: Raft is building mission-critical AI and data platforms for the Department of Defense (DoD). Our systems ingest and process massive volumes of real-time data from hundreds of sensors and operational sources, transform that data into usable intelligence, and deliver it to operators through mission applications and common operational pictures that support time-sensitive decision-making. Our platform operates at scale, processing billions of events per day with low-latency data pipelines and cloud-native infrastructure. As Raft expands its AI capabilities, we are investing in a more mature end-to-end machine learning platform to support model development, evaluation, deployment, monitoring, and lifecycle management across both cloud and constrained operational environments. In this role, you will help design, deploy, and mature Raft's ML platform and MLOps infrastructure. You will work across Kubernetes-based deployment environments, GPU-enabled infrastructure, model serving systems, CI/CD pipelines, and secure production operations to enable rapid and reliable delivery of machine learning capabilities. This role is ideal for someone who understands both the infrastructure needed to run ML systems in production and the practical needs of ML engineers building and deploying models. What you'll do: • Design, build, and maintain secure, scalable MLOps infrastructure and deployment pipelines for production ML systems, • Help mature Raft's internal ML platform and model lifecycle capabilities, including model packaging, registry/catalog workflows, deployment, monitoring, and operational support, • Deploy and manage machine learning workloads on Kubernetes, including GPU-enabled clusters, • Support model serving and inference infrastructure for a range of ML use cases, including traditional ML, computer vision, speech/audio, and LLM-based systems, • Build and maintain CI/CD workflows for ML services, model artifacts, and platform components, • Partner closely with ML engineers, software engineers, and product teams to move models from experimentation to reliable operational deployment, • Improve observability, reliability, security, and maintainability across ML infrastructure and services, • Help evaluate and standardize runtime patterns, serving frameworks, and deployment architectures for production ML workloads, • Contribute to infrastructure decisions across edge, on-prem, and cloud-hosted deployment environments, • Support compliance-driven deployment practices and secure software supply chain requirements in defense environments, • Get hands-on with customers at the most forward-leaning places in the Department of War What we are looking for: • 7+ years of relevant hands-on experience in software engineering, platform engineering, DevOps, MLOps, or related technical roles, • 5+ years of experience with Docker and Kubernetes in production environments, • 5+ years of experience supporting enterprise cloud infrastructure or applications in AWS, Azure, or similar environments, • Strong experience provisioning, operating, and troubleshooting Kubernetes clusters in production, • Experience building and maintaining machine learning platforms, infrastructure, or pipelines used by engineering or data science teams, • Practical experience deploying machine learning workloads on Kubernetes, • Experience managing clusters or workloads that use GPUs, • Strong understanding of Helm and Kubernetes deployment patterns, • Strong scripting or programming skills, preferably in Python, • Experience with modern software engineering practices including Git, CI/CD, DevOps, and Agile/Scrum workflows, • Strong troubleshooting, systems thinking, and communication skills, • Ability to work independently and collaboratively in a fast-moving environment, • Ability to obtain and maintain a Top Secret clearance, • Experience with ML model serving and inference platforms such as Triton Inference Server, KServe, Ray Serve, vLLM, or similar technologies, • Experience with secure and compliant deployment practices in regulated or government environments, • Experience with Kubernetes-based ML platforms such as Kubeflow, • Familiarity with service mesh technologies such as Istio, • Experience provisioning and debugging complex CI/CD systems, • Experience with infrastructure as code tools such as Terraform, • Familiarity with software supply chain security, container hardening, vulnerability management, and runtime scanning, • Experience supporting ML systems across multiple deployment environments, including cloud, on-prem, and edge, • Background working with machine learning engineers on model training, evaluation, packaging, and release workflows, • Familiarity with storage and artifact systems used in ML platforms, such as S3-compatible object stores, registries, and metadata/catalog systemWhat success looks like:, • You help Raft stand up a more mature and repeatable ML platform for deploying and managing models in production, • ML engineers can move faster because deployment, serving, and platform workflows are clearer, more reliable, and easier to use, • Model deployments become more secure, observable, and supportable across real-world mission environments, • Remote in DMV; McLean, VA; Boston, MA; San Antonio, TX; Colorado Springs, CO; Tampa, FL; Honolulu, HI Locations ONLY, • May require up to 40% travel Salary Range: $150,000.00 - $200,000.00 What we will offer you: • Highly competitive salary, • Fully covered healthcare, dental, and vision coverage, • 401(k) and company match, • Take as you need PTO + 11 paid holidays, • Education & training benefits, • Annual budget for your tech/gadgets needs, • Monthly box of yummy snacks to eat while doing meaningful work, • Remote, hybrid, and flexible work options, • Team off-site in fun places!, • Generous Referral Bonuses We bridge the gap between humans and data through radical transparency and our obsession with the mission. Our Customer Obsession: We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies. How do we get there? Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. Raft's core philosophy is Ubuntu: I Am, Because We are. We support our "nadi" by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Job Description Job Overview The Program Data Science Analyst will play a critical role in supporting program and project planning, execution, and monitoring activities across various initiatives. This role blends deep data science expertise with program analysis, enabling the organization to extract insights from large-scale, heterogeneous data sources, automate analytical workflows, and support mission-critical decision-making. The ideal candidate is a hands-on technical expert who can independently develop models, pipelines, analytical tools, and dashboards that simplify understanding and aid decision making while also collaborating with and providing their own analysis and insights to cross-functional teams, senior leaders, and external partners to aid with program planning, execution, and ultimately delivery of project objectives. Essential Functions • Develop scalable algorithms for large-scale data, applying data mining, clustering, statistical modeling, graph analytics, and visualization techniques to solve analytical problems with incomplete data sets., • Conduct exploratory data analysis, identify patterns, and generate actionable insights from structured, semi-structured, and unstructured data., • Develop visualizations and dashboards to communicate findings to technical and non-technical stakeholders., • Build tools and automation to streamline data ingestion, transformation, and analysis., • Design and optimize analytic pipelines, graph traversal queries, and data processing workflows to ensure reliable performance across all environments., • Develop scripts and pipelines to process large data streams and support real-time or near-real-time analytics., • Design, develop, test, and document data science microservices and analytical applications, • Conduct data analysis to support project performance tracking and decision-making processes using key metrics and reporting tools, • Collaborate with program managers to gather, validate and analyze data to ensure data accuracy and usability., • Prepare and maintain project documentation, including charters, plans, timelines, status reports, reporting dashboards, and deliverables., • Collaborate with program managers and team members to identify challenges and risks, provide analysis and management recommendations., • Develop and analyze key performance indicators (KPIs) to monitor project health and success., • Assist in budget tracking, cost analysis, and resource allocation planning to help ensure projects remain within financial parameters., • Maintain and update project management tools and systems, • Generate detailed project reports, dashboards, and presentations for stakeholders., • Research best practices, recommend process improvements, and support the development of processes and tools to enhance project efficiency., • Facilitate and participate in post-project evaluations and recommend improvements for future initiatives., • Ensure that all project documentation is stored and organized according to PMO standards, • Regular and reliable attendance on a full time basis [or in accordance with posted schedule]., • Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices., • Proficient in Microsoft Excel (e.g., dynamic arrays, Power Query, PowerPivot) and project management tools (e.g., MS Project, Jira), as well as the Microsoft Office Suite (Word, Excel, PowerPoint), • Strong analytical and problem-solving skills with a focus on interpreting data and providing actionable insights., • Proficiency in Python; experience with C++, Java, or R is beneficial, • Familiarity with AI/ML tools supporting logistics or operational use cases., • Ability to quickly learn new tools and technologies., • Effective verbal and written communication, alongside strong interpersonal and collaboration skills., • Detail-oriented with a commitment to accuracy, data integrity, and confidentiality, • Ability to manage multiple tasks and priorities effectively in a fast-paced environment., • Self-starter with strong problem-solving skills; able to work independently with minimal oversight., • Collaborative team player with strong interpersonal skills., • Bachelor's degree in business administration, data analytics, or a related field., • Master's degree in quantitative discipline (Statistics, Data Science, Data Analytics, Computer Science, Engineering, etc.) preferred., • Additional applicable experience may be substituted for formal education., • 5+ years of experience using data science, machine learning, or advanced analytics, • 2+ or more years of experience in project analysis, data analysis, or project management (preferred)., • Experience in data management, reporting, or process improvement roles is preferred. • Experience with BI tools (Tableau, PowerBI, Qlik)., • Experience with Continuous Integration/deployment (CI/CD) tools (Git, Jenkins, Docker)., • Experience with graph analytics and graph traversal languages (Gremlin, Cypher, GraphML)., • Experience communicating analytical findings through visualizations and presentations., • Experience with data orchestration tools (Airflow) and data engineering platforms (Databricks, ElasticSearch, Apache NiFi, StreamSets)., • Experience working with structured, unstructured, or semi-structured data and conducting analysis The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Security Clearance • Ability to obtain/maintain Secret DoD clearance minimum, U.S Citizenship required. AEVEX Aerospace is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws. About AEVEX AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia. AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees. Equal Employment Opportunity: AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.

Job Locations US-FL-Tampa Job ID 2026-13892 # of Openings 1 Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Technical Advisor SME in the Tampa area who is a senior-level Subject Matter Expert (SME) in Artificial Intelligence and Autonomy to shape the strategic direction of unmanned systems across the Special Operations enterprise. This role sits at the intersection of strategic planning and deep technical fluency -- translating operational requirements into actionable AI/autonomy strategies, evaluating emerging technologies, and aiding decision makers as a voice on intelligent unmanned systems to industry, academia, interagency, and allied partners. The ideal candidate bridges the gap between operators, engineers, and senior decision-makers -- equally credible briefing a general officer on capability roadmaps and challenging an engineering team on model architectures, sensor fusion approaches, or autonomy frameworks. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. This position is in-person in Tampa and requires an active Top-Secret clearance. As a Technical Advisor SME you are expected to: Develop and refine USSOCOM's strategic approach to AI and autonomy for unmanned systems (air, ground, maritime, and undersea), ensuring alignment with the National Defense Strategy, Joint All-Domain Command and Control (JADC2), and SOF-specific operational concepts. Advise senior leadership (O-6 and above) on capability gaps, technology readiness, and investment priorities related to AI-enabled unmanned platforms and autonomous mission sets. Evaluate and challenge proposals from defense industry, academic research institutions, and government labs on AI/ML architectures, autonomy stacks, computer vision, reinforcement learning, edge computing, and human-machine teaming approaches. Lead technical assessments of unmanned system prototypes and programs of record, including autonomy software, navigation/guidance algorithms, multi-agent coordination, and mission-level decision-making systems. Shape requirements documents, Concepts of Operations (CONOPS), and capability development documents (CDDs) to ensure AI/autonomy considerations are embedded from inception. Represent USSOCOM in interagency working groups, Joint AI Center (JAIC) / CDAO engagements, NATO autonomy forums, and industry conferences. Identify opportunities for rapid prototyping, experimentation, and transition of AI/autonomy technologies from lab to operational fielding, leveraging authorities such as Section 804 and SOFWERX partnerships. Monitor the global AI/autonomy landscape -- including adversary capabilities, allied developments, and commercial breakthroughs -- and translate implications into actionable intelligence for SOCOM leadership. Active Top-Secret Clearance required • Minimum of 10-years of military experience with special operations time, • Bachelor's degree, • Ability to communicate at the SES/GO level, • Demonstrated experience across technology delivery in areas similar to: software development, DevSecOps, Cloud Computing, AI, data management, data science, and networking, • Experience in special operations, ideally in both a joint and US Army SOF unit, • Master's degree in a technical field, • Prior service in a Special Operations unit Target salary range: $138,130 - $238,118 Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work. We can recommend jobs specifically for you! Click here to get started.

Capable of learning the responsibilities for day-to-day maintenance and troubleshooting of all plant equipment. Capable of requisitioning electrical machine parts pulled from the maintenance storerooms. Under This Roof We Require: High school graduate or equivalent Required 5+ years of industrial el

About Mercor’s talent network Join our Machine Learning Engineer Expert Network to connect with leading AI labs and companies seeking your expertise. About Mercor projects Experts in our network contribute to: - Training and evaluating AI models in Machine Learning Engineering - Creating tasks

Location: Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas, always with the ambitions to keep doing more. The opportunity We are seeking a Data Engineer with strong semantic data engineering capabilities - someone who can design and build modern data pipelines while also implementing semantic frameworks (ontologies, taxonomies, and knowledge graphs) that enable agentic AI and intelligent data products. In this role, you will work at the intersection of data engineering, knowledge representation, and AI enablement, helping create a context layer that allows AI systems to understand and reason over enterprise data. You will collaborate with data architects, AI engineers, and stakeholders to translate complex business concepts into scalable data + semantic models, powering downstream analytics, AI workflows, and operational use cases. Your key responsibilities In this role, you will contribute to multiple solutions and workstreams, focusing on delivery quality, operational excellence, and effective risk management. You will be proactive in continuous process improvement, leveraging research and analysis to identify innovative solutions. Data engineering & platform delivery * Design, build, and operate scalable data pipelines and integrations that support large-scale data architectures across cloud and hybrid environments. * Build out new integrations using cloud-native technologies to support continuing increases in data sources, volume, and complexity. * Extract, transform, and load data from multiple external/internal sources into a single, consistent source to serve business users and data visualization needs. * Implement processes and systems to drive data reconciliation and monitor data quality. * Write unit/integration/performance tests and perform analysis required to troubleshoot data-related issues and support resolution. Semantic data engineering / context engineering * Develop and evolve ontologies and semantic models to represent business concepts, relationships, and workflows in support of AI agents and enterprise analytics. * Build and maintain knowledge graphs that enable contextual reasoning, entity resolution, and semantic integration across domains. * Define metadata schemas, taxonomies, and contextual rules to support dynamic orchestration, discoverability, and reuse. * Implement and govern semantic standards and best practices aligned to W3C semantic web standards Continuous improvement * Utilize CI/CD principles to automate deployment of code changes, improving code quality, test coverage, and resilience. * Evaluate and adopt emerging tools and processes in data engineering and knowledge graph platforms to improve productivity and outcomes. Skills and attributes for success To thrive in this role, you will need a strong ability to manage change, lead teams effectively, and maintain excellent relationship management skills. You should be adept at problem-solving, critical thinking, and have a deep expertise in data architecture and software engineering. * Partner with Business Analysts and Solution Architects to translate business requirements into technical specifications aligned to the intended design. * Collaborate with AI/ML engineers to embed a semantic context layer into agentic workflows and data products. * Support advanced analytics and AI use cases by improving data readiness, meaning, lineage, and interpretability. * Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. * Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. * Foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions. * Develop solutions for complex problems * Suggest changes to policies and establish new procedures * Provide direction and feedback to team members To qualify for the role, you must have * A Bachelor's degree in STEM * 6+ years of relevant experience in software development, data science, data engineering, ETL, and analytics reporting development. * 3+ years' experience with native cloud products and services such as AWS, Azure or GCP. * 3+ years of experience in the Life Science industry * 2+ years of experience mentoring and leading a team of data engineers, fostering a culture of innovation and professional development. * Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines. * Proven track record of designing and implementing complex data solutions. * Demonstrated understanding and experience using: * Data engineering programming languages (e.g., Python) * Proficiency in OWL, RDF, SPARQL. * Distributed data technologies (e.g., Pyspark) * Cloud platform deployment and tools (e.g., Kubernetes) * Relational SQL databases * DevOps and continuous integration * GitHub * Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions. * Understanding of database architecture and administration. * Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners. * Strong problem solving and troubleshooting skills. * Ability to work in a fast-paced environment and adapt to changing business priorities. Ideally, you'll also have * Strong business acumen with the ability to manage complex client relationships * Proven experience in managing and leading teams within a dynamic environment * Excellent communication and interpersonal skills * Experience with agentic AI systems or AI orchestration frameworks. * Knowledge of data fabric, data mesh, or AI4Data architectures. * Background in enterprise data management (MDM, metadata, governance). * Experience with cloud data platforms like Snowflake and Databricks. * Experience in leading and influencing teams, with a focus on mentorship and professional development. * A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. * The ability to foster an inclusive environment that values diverse perspectives and empowers team members. What we look for We are looking for top performers who demonstrate a combination of technical expertise and leadership abilities. Ideal candidates are those who can navigate complex problems with innovative solutions, have a track record of successful project delivery, and possess the skills to build and maintain strong client relationships. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . * We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. * Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. * Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at .

Job Title: Machine Learning Engineer. Create end to end ML workflow training pipelines engineer new features monitor training process unit testing.

Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. For data Science/Machine learning Positions.

Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning.

Data Mining:** Must have strong experience using a variety of data mining and data analysis methods, accessing data stored in a variety of data storage paradigms, developing models using common statistical and machine learning modeling approaches, using and creating custom algorithms, implementing a

Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers. We need Data Science/Data Engineers /Data Analyst and Java Full stack candidates. For data Science/Data Analyst/Data Engineer/AI/Machine learning Positions.

You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You will enhance data pipelines to ensure data integrity and optimize learning processes, all whil

Project Manager (AI/ML, Agentic, Machine Learning) | Tampa, Florida, United States.Project Manager (AI/ML, Agentic, Machine Learning).Onsite Hybrid role, 2-3 days onsite in a week.Must be authorised to work for any employer and willing to work on W2.You will lead projects by managing complex AI/ML d

Mid-level AI/ML Engineer to join our Artificial Intelligence and Machine Learning team. This position offers an excellent opportunity to grow technically, contribute to high-value AI solutions, and learn from experienced engineers. Develop, optimize, and implement machine learning algorithms and sta

Understanding of mobile banking, mobile app development and digital technologies (including digital strategy, digital payments, credit or deposit products, cyber security, multichannel banking, AI/machine learning, big data and analytics, and DevOps innovation). Are you passionate about building bes

Overview Principal Machine Learning (ML) Engineer) Location: Washington, DC Remote Type: Full-time Posted: 19 hours ago Role Summary Note: U.

AI/Machine Learning Engineer, Senior Consultant. Monitoring and optimizing learning processes to improve high-performance models. Experience with natural language processing and deep learning.

AI/Machine Learning Engineer, Manager Consultant. AI, Data Science, and/or Machine Learning. Experience with natural language processing and deep learning.

Senior Software Engineer, Machine Learning.

Job Description GCC is looking for candidates who want to start on the journey to build a successful sales career with our 100% employee owned company. GCC has offices in Tampa, Seattle, Charlotte, and Portland - providing motion control solutions for hydraulic, pneumatic and electrically powered applications. Our southeast division specializes in hydraulic solutions for the aerospace, machine tool, forestry and marine industries. Our team is growing, and we are proud to be a 100% employee owned company – every employee has skin in the game. The Sales Engineer will start off with an inside sales role with the goal of learning about customers, products and skills necessary to move into an outside sales role within 1-2 years of hire. GCC will facilitate rotational duties in repair & production for hands-on training as well as shadowing management and outside sales. The sales engineer will be expected to pass the Fluid Power Certification from IFPS and demonstrate competency with products, vendors and sales skills to move to an outside role. This is an exciting opportunity to learn industrial sales in a supportive environment with training support! Responsibilities Include: • Supporting current outside sales employees with customer support to large OEM accounts - including order expediting, order status questions, providing quotes and assisting with additional customer information as requested., • Answering incoming calls for sales, service, product availability, order expediting, credit issues, managing orders in the ERP system and creating quotes., • Find new business leads from incoming requests for quotes & phone calls., • Cross sell and upsell products and value-added services as applicable., • Support and participate in the organization’s continual improvement program to conform to ISO 9001 requirements and Quality Management System., • Complete rotations in production and repair departments to assist with teardowns, product modifications and building subassemblies, to learn how products and systems function., • Attend sales training as assigned; study fluid power basics achieve Fluid Power Specialist certification (as designated by the International Fluid Power Society)., • Shadow outside sales and assist with in-person customer visits. Education: • Experience with technical concepts (fluid power experience preferred)., • Customer service work experience. Intelligence • Mechanical aptitude and hands-on experience, • Commitment to academic achievement, • Charisma - likability and ability to engage with others, • Empathy - relating to customer & coworkers, • Hunter mentality, looking for the big fish, competitive, • Resilience - demonstrated ability to overcome "no" and persistence to win in the face of rejection Benefits: We offer a competitive salary and benefits package, including medical, dental, vision, life and disability insurance, and 401(k) plans with company match. A unique benefit GCC offers as part of Employee Owned Holdings, Inc. is participation in the employee stock ownership plan. What is an ESOP? ESOP is a special retirement program that allows employees to own rights in the stock in the company. When you join EOHI, you automatically begin investing in your future (without having to purchase shares). We are a high growth company committed to training our employee owners to develop their skills and advance in their careers. • Studies also show that retirement account balances for ESOP companies are 2.5 times higher., • ESOP companies grow 2.5 times faster than those companies without employee ownership., • Research shows employee owned companies are superior in performance, employee benefits and employee morale because everyone is working towards a common goal.

Job Description Marpai Administrators (Subsidiary of Marpai Inc. (NASDAQ: MRAI)) is a technology company transforming the Third Party Administration sector serving employers with self-funded health plans. Marpai Administrators (Marpai) is an AI-powered national TPA (third party administrator) using deep learning and machine learning to maximize population health outcomes with the greatest cost efficiency for any health plan budget. We create healthier members and a healthier bottom line. Marpai proactively targets at-risk members with meaningful clinical interventions to improve outcomes. ABOUT THE POSITION: The National Sales Director/Vice President will be responsible for Marpai sales growth. Applicants for this position must have strong existing relationships with targeted prospects, consultants, brokers and other centers of influence help grow the company. The Sales Director/Vice President will work in a fast-paced, dynamic work environment working collaboratively with other departments and business partners requiring the ability to be adaptive, innovative and flexible with regards to our customers and clients. WHAT YOU WILL BE DOING: • Prospect for self-funded Plan Sponsors to sell Marpai services, • Must have key existing broker distribution channel with relationships in multiple states, • Exceed assigned sales targets set forth by organization, • Provide effective field underwriting to minimize risk to organization, • Complete necessary SalesForce.com reporting for forecasting, • When possible, sell PBM services in addition to Marpai administrative solutions, • Provide input and feedback to improve overall value proposition and service of the organization, • Strong verbal and written communication skills to effectively and accurately execute duties, • Strong knowledge of self-funded market, with a proven track record of sales & underwriting and risk management for large Employers, • Excellent knowledge of industry and trends within the market we are selling to, • Superior organizational skills and attention to detail enabling efficient, effective and comprehensive solutions/resolution, • Solid listening and consulting skills to be able to understand how Marpai can help Plan Sponsor, • Flexibility in work schedule to meet demands of clients and colleagues as well as meet deadlines consistently, • Strong knowledge understanding of broker and consultant channels and competitive market leading to success in those related channels, • Minimum of 5 years of Sales in the large Employer health care space with carrier, consultant or TPA, • This position will be a work at home position, • Fast paced, dynamic work environment requiring the ability to be adaptive, innovative and flexible, • In this role, expected to travel for client meeting, within territory, as required, • Travel 50% of the timeGenerous sales commissions based on gross margin WHY WORK AT MARPAI? We have great benefits: • Generous PTO, • Medical and Prescription, • Health and Wellness Programs, • EAP, • FSA / HSA / Dependent Care, • Dental, • Vision, • Life and Disability, • STD/LTD, • Voluntary Benefits: Critical Illness, Accident, Hospital, • 401k with Employer Match, • LegalShield, • Identity Theft Protection Marpai is an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. This is a remote position.

Job Description We are looking for a motivated Entry-Level Data Scientist to join our team. You will analyze data, build predictive models, and generate insights to support business decisions. Entry-Level Data Scientist – Job Description Role Overview Full-time Training and deployment. Traing will take in our HQ, which is in Atlanta, GA Key Responsibilities Collect, clean, and preprocess structured and unstructured data Perform exploratory data analysis (EDA) to identify trends and patterns Build and evaluate machine learning models Develop data visualizations and dashboards Work with cross-functional teams (product, engineering, business) Communicate insights through reports and presentations Optimize models for performance and scalability Required Skills & Qualifications Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field Strong knowledge of Python (Pandas, NumPy, Matplotlib, Seaborn) Understanding of statistics and probability Familiarity with machine learning algorithms Basic knowledge of SQL Problem-solving and analytical thinking Preferred Qualifications (Nice to Have) Internship or project experience in data science Experience with libraries like Scikit-learn, TensorFlow, or PyTorch Knowledge of data visualization tools (Tableau, Power BI) Basic understanding of cloud platforms (AWS, Azure, GCP)

Job DescriptionBenefits: • Retirement Plan, • 401(k), • 401(k) matching, • Bonus based on performance, • Company parties, • Competitive salary, • Dental insurance, • Health insurance, • Opportunity for advancement, • Paid time off, • Training & development Responsibilities • Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation and serving., • Optimize machine learning algorithms., • Contribute to building an infrastructure that facilitates end-to-end ML workflows., • Explore new technologies like quantum engineering for advanced model development., • Collaborate with cross-functional teams to enhance data processing pipelines., • Top Secret clearance required (can be sponsored)., • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience., • 4+ years with natural language processing (NLP) topics, including tagging, syntactic parsing, word sense disambiguation, topic modeling, contextual text mining, or application of deep learning to NLP., • Strong background in a modern programming language, such as Python or Java, and associated numerical and analytics packages (NUMPY, PANDAS); git; PYTORCH or TensorFlow; CI/CD pipelines and regression testing., • Ability to quickly grasp technical concepts and collaborate with multiple functional groups., • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams., • Detail-oriented mindset with a commitment to delivering high-quality results.Nice to Have, • Recent DoD or IC-related experience., • Experience building distributed deep learning libraries or scaling large distributed deep learning workflows using PyTorch (or similar)., • Experience in machine learning, data mining, information retrieval, statistics, or natural language processing., • Experience in large scale AI and ML infrastructure, AWS ML tools such as SageMaker., • Experience with data discovery techniques and tools such as AWS Glue Crawler, Apache Atlas, Datahub, or Collibra. Benefits • Compensation - We carefully consider a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, and other considerations permitted by law., • Healthcare - We offer Health, Vision, and Dental Plans for our employees and their families., • Retirement Plan We invest in your future with a competitive 401(k) plan, where we match 100% of your contributions up to your first 6% and give you access to Vanguard Admiral funds., • Paid Time Off - Based on length of service, we offer a generous amount of paid leave., • Bonus System As you invest in us, we invest in you. We offer bonuses to all employees who meet and exceed goals throughout the year., • Professional Development Support for career growth through training programs and certifications., • Company Retreats & Team Events Sponsored trips, team-building activities, and annual conferences related to your skillset.

Job DescriptionMarpai Administrators is a technology company transforming the Third-Party Administration sector serving employers with self-funded health plans. Marpai Administrators (Marpai) is an AI-powered national TPA (third party administrator) using deep learning and machine learning to maximize population health outcomes with the greatest cost efficiency for any health plan budget. We create healthier members and a healthier bottom line. Marpai proactively targets at-risk members with meaningful clinical interventions to improve outcomes. ABOUT THE POSITION: The Manager of EDI Operations oversees staff responsible for file analysis, file requirement gathering and communication between the business units, the Developers and vendors. WHAT YOU WILL BE DOING: • Provide strong people management of the EDI Analysts, • Ensure that project/department milestones are met, • Be the Laison between the business units and developers for EDI requests, • Organize, Standardize and implement EDI processes and documentation, • Manage work intake, prioritization and assignment of analysts tasks, • Perform team administrative duties including status reports, team development and assessments, • Carry out personnel management activities including performance management and career development, • Mentor, coach and guide data analysts within the EDI operations team, • Ability to manage multiple projects to successful and timely conclusion, including measurement of milestones, alerting project participants to outliers and project status updates, • Able to communicate internally and externally with all levels of people in a manner which illustrates superior professionalism. Communications may include speaking in front of groups of people, • Ability to prepare for, lead and direct meetings, both internally and externally, with various group sizes. Directing includes keeping meetings on track, providing follow-up/meeting minutes, Gantt charts, etc., • Relationship focused, with excellent interpersonal skills for dealing with clients, peers, other departments, and senior management, • Excellent written communication and documentation skills, • Advanced project planning skills with attention to detail, with the ability to prioritize and meet deadlines, • Must have the ability to use logical methods to address problems and develop effective solutions, ensuring customer expectations are met or exceeded, • Must have able to view processes and suggest change to create or maintain the most efficient, timely and accurate delivery, • Ability to analyze, interpret and organize information in a clear and concise manner, • Must have expert level knowledge of all desktop computer application such MS Office, including Outlook, Word, Excel, and PowerPoint., • Ability to adapt and be flexible in a variety of situations, • Ability to multitask and possess excellent time management skills, • Understanding of HIPAA ANSI formats (837,834, NCPDP, 270 and 271) and EDI response files, • Ability to identify and troubleshoot issues, attention to details and ability to lead larger and more complex projects, • Generous PTO, • Medical and Prescription, • EAP, • FSA / HSA / Dependent Care, • Dental, • Vision, • Life and Disability, • STD/LTD, • Voluntary Benefits: Critical Illness, Accident, Hospital, • 401k with Employer Match, • LegalShield This is a remote position.

Job Description Position Purpose/Summary The purpose of this position is to bridge the worlds of design, data, and automation. This role will focus on process innovation, AI integration, and information management; helping our design and planning teams move toward a future where model data and user interactions are seamlessly connected. The Design Technology Lead will play a pivotal role in leading the internal development of tools, workflows, and automation strategies that enhance creativity, efficiency, and collaboration across disciplines. Accountabilities Process Automation & Data Management Evaluate and integrate emerging technologies Essential Duties and Responsibilities • Process Automation & Data Management, • Develop and deploy C# scripts, Dynamo routines, and automation workflows that enhance design productivity., • Create data pipelines that can receive and process information from web-based applications., • Collaborate on incorporating AI into design workflows (CustomGPT tools, diffusion modeling, API-based assistants)., • Build and test AI agents that assist with process automation and intelligent data exchange., • Measurables:, • Successful outcomes where workflows become more connected, automated, and intelligent., • Increased design efficiencies where data moves freely between models, tools, and user interfaces., • Evaluate and integrate emerging technologies, • Collaborate in the evaluation and integration of approved emerging technologies, as directed, into BSA’s design process., • Partner with IT and project teams to ensure smooth deployment and adoption of new tools., • Work closely with Design and Planning leadership to align technology development with design vision., • Serve as a bridge between architecture, MEPT, interiors, planning, and software development partners to create unified data environments., • Measurables:, • Successful technology rollout where AI becomes an embedded, everyday part of the design process, not a separate experiment. Secondary Duties and Responsibilities • Mentoring and/or sharing knowledge with others in the firm., • Promote company reputation through good client relations and branded materials., • May be required to perform other duties as assigned. Critical Skills and Abilities • Strategic Thinking: Develops strategies to achieve organizational goals. Strategic mindset with the ability to connect technology solutions to design intent., • Effective communication skills: Strong communication skills via verbal communication, written communication, graphics and through active listening. Ability to read and interpret information necessary to translate to others in a concise manner. Collaborative communicator comfortable leading cross-disciplinary conversations., • Critical thinking skills: Able to see issues in their broadest perspective and offer in-depth analysis, engage in discussions, and utilize dynamic problem-solving skills., • Strong analytical skills: Able to gather relevant data using appropriate methodologies and analyze that data to assist in making important business decisions., • Ownership Mentality: Possesses a sense of ownership in all deliverables. Utilizes knowledge and opportunity to continually strive for excellence within an empowering culture. Collaborates and supports fellow employee-owners in ongoing improvements. Understands personal accountability within their role in the company., • Computer skills required: Microsoft Windows environment, Microsoft Office: Word, PowerPoint, Excel, • Strong proficiency in C#, Revit API, and data management workflows., • Familiarity with Python, JavaScript, or API integrations is a plus. Education/Experience Requirements • Bachelor’s degree preferred., • Minimum three years of experience and proven experience with automation, parametric design, or AI-driven workflows., • Work within the A/E/C industry preferred., • Evidence-Based Design Accreditation and Certification preferred. Job Complexity Work requires substantial judgment and original thinking and creativity; develops innovative approaches and ideas and must be able to present and sell ideas and information in a positive, clear and concise manner. Supervisory Responsibilities This position does not observe and advise other positions. Working Environment and Conditions This position occupies a general office environment. Exposure to weather elements is likely during site visits. Incumbents will drive a vehicle while performing their job responsibilities. Incumbents spend approximately 40% sitting, 30% standing, and 30% walking while performing their job responsibilities and are unlikely to handle materials weighing more than 10 pounds without mechanical assistance. Incumbents will use the following office equipment while performing their duties: phone, computer, copier, fax machine. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions. The duties and responsibilities listed above are intended to describe the general content of and requirements for the performance of this position. It is not constructed as an exhaustive list of duties, responsibilities, or requirements. Why BSA? At BSA, we empower our team members to make a meaningful impact. As a 100% employee-owned firm recently recognized by Zweig Group as one of the 2025 Best Firms To Work For and a Top 25 Hot Firm, you'll have a direct financial stake in our growth and success while benefiting from a collaborative and innovative environment. Join us and be part of a team dedicated to creating spaces that support healing, learning, and discovery. Exceptional Benefits: We offer a comprehensive benefits package including: • Medical, dental, and vision coverage, • Flexible Time Off (FTO), • Parental leave, • Hybrid work schedule, • Paid volunteer time and a giving back Program, • Employer-matched retirement funds and Employee Stock Ownership Plan (ESOP), • Modern, collaborative work environment with free parking at all studios Why You’ll Thrive at BSA: Our core values define us: • Partners: Our employee-owners value team success as well as individual success., • Purposeful: Our experts are solution oriented, creating inspired solutions in healing, learning, and discovery environments., • Learners: We are constantly striving for expertise and sharing knowledge., • Owners: We are committed to a culture of empowerment; thinking and acting like employee-owners to ensure the success of our clients and our business., • Ideal Team Players: We are humble, hungry, and smart. If these values resonate with you, we encourage you to apply and take the next step in your career with BSA! BSA is an equal opportunity employer.

Job DescriptionDescription:Position Details Job Title: Shipping Tech Department: Operations Reports to: Senior Shipping Supervisor FLSA Status: Full-Time, Non-Exempt Work Location: 9010 Palm Road | Tampa, Florida 33619 Our mission is to share a sense of adventure with the world through our high performance marine products while instilling and inspiring consumer confidence with superior service. Company Values: · Exceptional Client Service – Our customers are our life blood, we treat them as the essential partners that they are by going the extra mile and putting customer needs first · Innovation and Growth – Always looking to acquire new information and try new things to improve how we work · Ethical Orientation – Earns the trust and confidence of coworkers and customers through honest communication, ethical behavior and professionalism in all interactions · Driven & Passionate – Shows passion for improving the delivery of services with a commitment to continuous improvement Benefits 401(k)/401(k) matching, Employer paid life insurance, STD and LTD plans Health/dental/vision insurance Health savings account Paid time off Annual employee apparel discount Referral program Summary The Shipping Tech will be responsible for preparing items for all outgoing shipments. Duties of the Shipping Teche will include packaging, creating bills of lading, building pallets, loading the trailer, using FedEx ship manager, using Everest’s shipping wizard, EDI (true commerce) and arranging for the transportation of products. Essential Functions · Must be familiar with UPS ground and FedEx shipping, including FedEx International · Prepare documents, such as commercial invoices, bills of lading, shipping labels and shipping orders to route materials. · Determine shipping method for materials, using knowledge of shipping procedures, routes, and rates. · Confer and correspond with establishment representatives to rectify problems, such as damages, shortages, and nonconformance to specifications. · Requisition and store shipping materials and supplies to maintain inventory of stock. · Must be able to drive a lift truck or be willing to learn. Conducting day to day duties on Everest and true commerce. Requirements:Educational/Experience Requirements High school diploma or GED; or 1-3 months related experience and/or training; equivalent combination (preferred). Company will provide equipment and machine training. Machine and Tools Used • Forklift, • Pallet Jack, • Impact Screwdriver · Critical Thinking-Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. · Active Listening-Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times. · Monitoring-Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action. · Coordination-Adjusting actions in relation to others' actions. · Active Learning-Understanding the implications of new information for both current and future problem-solving and decision-making. · Social Perceptiveness-Being aware of others' reactions and understanding why they react as they do. · Service Orientation-Actively looking for ways to help people. · Learning Strategies-Selecting and using training/instructional methods and procedures appropriate for the situation when learning or teaching new things. · Time Management-Managing one's own time and the time of others. · Operation and Control-Controlling operations of equipment or systems. · Quality Control Analysis-Conducting tests and inspections of products, services, or processes to evaluate quality or performance. Language Skills: Ability to read and comprehend simple instructions, short correspondence, and memos. Ability to write simple correspondence. Ability to effectively present information in one-on-one and small group situations to customers, clients, and other employees of the organization. Mathematical Skills: Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percent and to draw and interpret bar graphs. Problem Solving Ability: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations. Working Hours: Hours will be 10:00 AM to 6:30 PM Monday through Friday Working Conditions/Physical Demands of the Job Warehouse/Production: The work environment characteristics described here are representative of those typical in a warehouse environment. The noise level in the work environment is usually moderate to loud, including the sounds of forklifts and tools. The temperature in the warehouse is moderate to hot depending on the time of the year. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands and fingers to handle or feel; and reach with hands and arms. The employee must frequently lift and/or move up to 50 pounds. *Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job DescriptionDescription: The Warehouse Tech is responsible for the pulling of product on a day-to-day basis. Responsible for the loading and unloading of product to and from vendors/delivery trucks. Maintain a clean and organized work area, with keeping aisles clear and labeled. Responsible for product knowledge and internal codes used to distinguish between items. Able to work as a team to get each job completed in a timely manner to ensure it gets into the production team when they require it for the next build. Requirements: Warehouse Tech Essential Functions: • Responsible for having a higher level of product knowledge, • Accountable for quality control on all parts before being brought to production, • Ensures all counts on parts received from a vendor, or on work orders match the quantities specified, • Places all product for a specific build in the prep area, • Inspect raw materials used in the production of JL Marine products, • Organize the warehouse by labeling and consolidating pallets, and ensure all like parts are stored together, • Maintain a clean and clear work area, • Maintain inventory counts when called upon, • Clear out/set-up production area to ensure parts are taken out and counted, and new product is pulled in for them to begin the next build required Educational/Experience Requirement: • Less than high school education; or up to one month related experience or training; equivalent combination., • High school diploma or GED; or 1-3 months related experience and/or training; equivalent combination, preferred Machine and Tools to be Used • Forklift, • Pallet Jack Knowledge, Skills and Abilities (KSAs): • Critical Thinking-Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems., • Active Listening-Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times., • Monitoring-Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action., • Coordination-Adjusting actions in relation to others' actions., • Active Learning-Understanding the implications of new information for both current and future problem-solving and decision-making., • Social Perceptiveness-Being aware of others' reactions and understanding why they react as they do., • Service Orientation-Actively looking for ways to help people., • Learning Strategies-Selecting and using training/instructional methods and procedures appropriate for the situation when learning or teaching new things., • Time Management-Managing one's own time and the time of others., • Operation and Control-Controlling operations of equipment or systems., • Quality Control Analysis-Conducting tests and inspections of products, services, or processes to evaluate quality or performance. Language Skills: Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of organization. Mathematical Skills: Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. Ability to apply concepts of basic algebra and geometry. Problem Solving Ability: Ability to apply common sense understanding to carry out detailed but uninvolved written or oral instructions. Ability to deal with problems involving a few concrete variables in standardized situations. Computer Skills: Basic personal computer skills Working Hours: 7:00 AM to 4:00 PM Monday through Friday, with a 1 hour lunch. Working Conditions/Physical Demands of the Job: The work environment characteristics described here are representative of those typical in a warehouse environment. The noise level in the work environment is usually moderate to loud, including the sounds of forklifts and tools. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands and fingers to handle or feel; and reach with hands and arms. The employee must frequently lift and/or move up to 50 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job DescriptionMarpai Administrators is a technology company transforming the Third-Party Administration sector serving employers with self-funded health plans. Marpai Administrators (Marpai) is an AI-powered national TPA (third party administrator) using deep learning and machine learning to maximize population health outcomes with the greatest cost efficiency for any health plan budget. We create healthier members and a healthier bottom line. Marpai proactively targets at-risk members with meaningful clinical interventions to improve outcomes. ABOUT THE POSITION: This role will provide leadership to a team of account managers while managing multiple strategic partner relationships. Reporting to the SVP of Client Experience, you will put the customers first and ensure excellence in service delivery while driving improvement in overall client metrics including satisfaction and retention. You will be responsible for supporting the success of your service teams initiatives, processes and tools, regularly establishing goals for continuous improvement. You will coach and mentor team members through complex problems and be the point of accountability for escalated client issues. WHAT YOU WILL BE DOING: • Maintains a working in depth knowledge and understanding of the Marpai products; where applicable and relevant, using additional resources where available and appropriate., • Works closely with the Implementation Manager to develop seamless handoff processes into ongoing service., • Develop overall strategies on best practices and processes for the team., • Acts as escalation point for sales and client related service issues., • Recognizes and monitors service metrics identifying trends, strengths and opportunities., • Ensures long term client satisfaction and retention., • Monitors client satisfaction through regular, proactive internal and external meetings., • Understand client specific success criteria for maintaining a positive, long term relationship., • Ensures excellence in preparation for strategic account reviews for our largest clients., • Ensure repeatable demonstration of our added value to our small and mid-size clients., • Understands the appropriate instances when client push back is required; and assists or delivers the appropriate message in a manner that does not damage the relationship, • Identifies and implements client focused processes and solutions, • Ensures team members follow established processes for delivering exceptional client service, • Ensures team members take full ownership in solving client problems and eliminating repetition of the same, • Routinely seeks client feedback and uses this information to address any breakdowns in practices and processes to improve your team and the client experience, • Removes barriers to team members delivering high quality client service, • Provides regular status reports to stakeholders, • Monitors and provides updates on the status of outstanding issues and process improvements, • Assists in driving cross-selling/upselling activity for their respective teams in efforts to meet or achieve our revenue targets, • Be an effective and efficient liaison between all portions of the team such as client, operations, service center, data management, production support and technology, • Consistently receive positive client and service satisfaction survey ratings, • Consistently improve client retention, • Your teams clients seek to purchase additional services from Marpai, • Minimum 5 years of account management experience with results in the TPA or self-funded benefits industry, • Minimum 5 years of experience leading high performing account management teams, • Four-year college degree preferred, or experience equivalent is preferred, • Strong verbal and written communication skills to effectively and accurately execute duties, • Exceptional customer service and relationship skills to ensure timely response, effective resolution and build consensus, • Thorough understanding of stop loss contracts and renewal process, • Dedicated follow up skills leading to timely and effective completion of duties and resolution of tasks, • Superior organizational skills and attention to detail enabling efficient, effective and comprehensive solutions/resolution, • Flexibility in work schedule to meet demands of clients and colleagues as well as meet deadlines consistently, • Broad knowledge and understanding of broker and consultant channels and competitive market leading to success in those related channels., • Fast paced, dynamic work environment requiring the ability to be adaptive, innovative and flexible, • Generous PTO, • Medical and Prescription, • EAP, • FSA / HSA / Dependent Care, • Dental, • Vision, • Life and Disability, • STD/LTD, • Voluntary Benefits: Critical Illness, Accident, Hospital, • 401k with Employer Match, • LegalShield This is a remote position.

Job DescriptionOntology Business Consultant• Titles: Ontologist, Ontology Engineer, Semantic Data Modeler, Knowledge Graph Engineer, Semantic Modeler Lead, Ontology Consultant. • Tech stack: RDF, OWL, SHACL, SPARQL, Stardog (or GraphDB, Blazegraph, Neptune), Protégé, SKOS taxonomies., • Experience: designing ontologies/knowledge graphs, translating business requirements into semantic models, integrating multiple source systems, defining validation rules and constraints., • Stardog and SPARQL (preferred), • Ontology versioning and change management

Job DescriptionMarpai Administrators is a technology company transforming the Third-Party Administration sector serving employers with self-funded health plans. Marpai Administrators (Marpai) is an AI-powered national TPA (third party administrator) using deep learning and machine learning to maximize population health outcomes with the greatest cost efficiency for any health plan budget. We create healthier members and a healthier bottom line. Marpai proactively targets at-risk members with meaningful clinical interventions to improve outcomes. ABOUT THE POSITION: The Implementation Manager is responsible for oversight of client implementations, change management, and coordination of internal operational functions. This position requires great attention to detail, superior communication skills, time management skills, and knowledge of internal processes and procedures. The goal of each implementation is to meet and exceed client expectations for an incredible service experience. WHAT YOU WILL BE DOING: • Expert in project management with consideration of operational processes and procedures to facilitate successful implementation of services, • Provides Sales and Client Service support which may include direct contact with customers and/or the customer's representatives, • Oversees implementations including accuracy of information to both the plan sponsor and to members, • Facilitates interdepartmental relations and communication as it specifically relates to managed accounts including Finance, IT, Operations, and other departments as needed, • Facilitate/leadership role for implementation of internal quality assurance and efficiency to create an incredible service experience, • Produces objective reporting to the Senior Management and SVPs, regarding critical path items, opportunities, and overall customer standing, • Can apply communication principles and appropriate positioning of information to deliver to various client types, • Able to provide analysis of workflows and efficiency with other department teams, • Experience in third party benefit and claims administration, to include stop loss product knowledge, • Conducts post-implementation analysis to identify areas for improvement, new process development to mitigation of risks areas with future implementations, • Ability to manage multiple projects to successful and timely conclusion, including measurement of milestones, alerting project participants to outliers and project status updates, • Able to communicate internally and externally with all levels of people in a manner which illustrates superior professionalism. Communications may include speaking in front of groups of people, • Ability to prepare for, lead and direct meetings, both internally and externally, with various group sizes. Directing includes keeping meetings on track, providing follow-up/meeting minutes, Gantt charts, etc., • Relationship focused, with excellent interpersonal skills for dealing with clients, peers, other departments, and senior management, • Excellent written communication and documentation skills, • Advanced project planning skills with attention to detail, with the ability to prioritize and meet deadlines, • Must have the ability to use logical methods to address problems and develop effective solutions, ensuring customer expectations are met or exceeded, • Must have able to view processes and suggest change to create or maintain the most efficient, timely and accurate delivery, • Ability to analyze, interpret and organize information in a clear and concise manner, • Must have expert level knowledge of all desktop computer application such MS Office, including Outlook, Word, Excel, and PowerPoint., • Ability to adapt and be flexible in a variety of situations, • Ability to multitask and possess excellent time management skills, • Generous PTO, • Medical and Prescription, • EAP, • FSA / HSA / Dependent Care, • Dental, • Vision, • Life and Disability, • STD/LTD, • Voluntary Benefits: Critical Illness, Accident, Hospital, • 401k with Employer Match, • LegalShield This is a remote position.

Job Description Overview WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: Competitive pay $32-$45/hour (DOE) and sign-on bonuses up to $3,000 (per location)., • Paid Drive Time: Enjoy 100% pay for local travel between customer sites. Park your company vehicle at home for added convenience., • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match, • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Responsibilities This position is responsible for assisting in the repair and overhaul of equipment, refrigeration, heating, and ventilation equipment to ensure customer needs are met efficiently, accurately, and on time. • Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, and electrical and mechanical control devices in a safe, efficient, and timely manner that exceeds customers’ expectations, • Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner., • Provides preventative maintenance activities for customers by diagnosing equipment malfunction and any operating deficiency of the mechanical equipment to ensure quality work performance for the customer base., • Test malfunctioning systems and components using electrical and/or mechanical skills., • Maintain legible corporate and personal records of work history., • Provides department support by processing job tickets, and work orders to the necessary department promptly., • Provide support by picking up, delivering, and installing cases., • Perform work on minor construction and remodeling projects including startups of new installations., • Drives company vehicle in a safe manner., • Performs other related duties and projects as assigned by management. Qualifications • High school diploma/GED., • EPA certification., • Certification from an accredited vocational-technical or trade school is a plus!, • Minimum 5+ years of commercial refrigeration experience required., • Experience working on refrigeration equipment in convenience stores or supermarkets is a strong plus., • Familiarity with single systems and rack systems along with previous work on display cases and walk-in boxes is very helpful., • Must have a good driving record and be able to work independently., • Emergency on-call availability is a basic requirement., • Must be able to lift to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time.

Project Manager (CFA & Drilled Shaft Experience).BFC) is a Florida corporation and the U.Bauer Group based in Schrobenhausen, Germany.The Bauer Group is a world- renowned foundation contractor, designer, and builder of the world’s finest foundation equipment.BFC, as part of the Bauer construction