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 the candidate's professional background and relevant work experience, the specific responsibilities of the role and organizational needs, and internal equity and alignment with current team compensation. This role is also eligible for additional compensation including performance-based bonuses, company-paid training and/or certifications, and referral bonuses, subject to the terms and policies of MetroStar.
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
Schedule
Primarily onsite across designated DC Metro locations, including Tyson's Corner and Reston, VA, with occasional customer-site visits.