Sr. AI/ML Engineer II (6883)

About the role

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.

Responsibilities

• 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.

Requirements

• 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 visits.

Pay

Salary range: $180,000 - $205,000. The final salary offered will be determined based on several factors including: the candidate's professional background and relevant work experience; the specific responsibilities of the role and organizational needs; internal equity and alignment with current team compensation. This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include performance-based bonuses, company-paid training and/or certifications, and referral bonuses.

Benefits

• Health, dental, and vision insurance
• 401(k) retirement plan with company match
• Paid time off (PTO) and holidays
• Parental Leave and dependent care
• Flexible work arrangements
• Professional development opportunities
• Employee assistance and wellness programs