> Markdown version of [/jobs/ext/3899209-sr-ai-ml-engineer-ii-6883](https://www.wearedevelopers.com/jobs/ext/3899209-sr-ai-ml-engineer-ii-6883). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI/ML Engineer II (6883) - **Company:** METROSTAR, INC. - **Location:** Tysons, VA, United States - **Experience:** Expert - **Salary:** $180,000.0 - $205,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Software Code Optimization, Data Architecture, R (Programming Language), Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, NumPy, Open Source Technology, Tensorflow, Systems Integration, Anaconda, Large Language Models, Generative AI, Keras, Agentic-AI, Scikit Learn, Devsecops - **Published:** October 23, 2026 - **Apply:** https://dejobs.org/x/x/1843B43B514C4AB08BFF4318EAA62799/job/ ## About the Role * Minimum of 6 years of relevant experience in AI/ML engineering, data science, machine learning, or a related technical discipline. * Bachelor's or Master's degree in a relevant field, or equivalent professional experience. * Active TS/SCI clearance with CI polygraph. * Extensive experience leveraging open-source AI/ML models, with the ability to evaluate and justify the use of proprietary models when appropriate. * Strong hands-on experience designing, building, training, integrating, deploying, and maintaining AI/ML models and production applications. * Experience developing agentic AI systems, including AI agents, orchestration workflows, and automated data-processing capabilities. * Expert-level proficiency in at least two of the following AI/ML areas: Generative AI/LLMs, Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), or neural networks. * At least 6 years experience with at least two following technologies: Python, TensorFlow, SciKit-Learn , Anaconda, Numpy, R, Keras, and Postgres * At least 6 years of experience designing, implementing, and maintaining data architectures and services supporting AI/ML solutions, including model optimization, evaluation, and maintenance through Agile user stories and DevSecOps CI/CD pipelines. * Expert-level experience designing, developing, and deploying AI/ML solutions in classified AWS cloud environments at Impact Level 6 (IL6) or higher. * Strong analytical skills, including the ability to assess program and system performance, identify manual processes, and develop algorithms or automation solutions to improve efficiency. * Strong experience designing, developing, deploying, and maintaining containerized AI/ML applications. * Ability to work primarily onsite across designated DC Metro locations, including Tyson's Corner and Reston, VA, with occasional customer-site visit ## Description As a Sr. AI/ML Engineer II, you will design, build, deploy, and maintain production-ready AI and machine learning solutions, leveraging advanced ML techniques to support Retrieval-Augmented Generation (RAG) capabilities and drive mission-focused outcomes. In this role, you will serve as a trusted technical advisor, ensuring secure and effective system integration, while translating complex findings into actionable insights for diverse audiences across the organization., * Serve as a hands-on technical lead for an AI/ML engineering team, providing technical guidance, architectural direction, and AI implementation strategy. * Design, build, train, integrate, deploy, and maintain production-ready AI/ML models and applications in secure environments. * Apply machine learning techniques to support retrieval augmented generation * Present results to a diverse audience in presentation or report form * Support architectural leadership, technical support, and advisement services to ensure system technologies are integrated and meeting the appropriate security requirements * Communicate technical findings, architectural recommendations, and project progress to both technical and nontechnical stakeholders.