Sr. AI/ML Engineer I (6438)
$147k - $156kMetroStar Corporation
Sr. AI/ML Engineer I
Hybrid - Local to D.C. Metro Area
MetroStar is seeking an AI/ML Engineer to support a high-visibility, enterprise AI-enabled financial compliance initiative for the Department of War. This mission-critical program modernizes financial system compliance and audit workflows across more than 180 systems. You will design, develop, and deploy AI models that power automated compliance translation, anomaly detection, semantic search, and executive-level decision support. This is a remote role with preference for candidates local to the DMV area who can attend in-person meetings as required.
At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.
If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
What You'll Do:
- Design and implement machine learning models supporting financial compliance validation and data standardization
- Develop AI-assisted translation engines that map legacy financial artifacts to enterprise standards
- Build semantic retrieval and embedding pipelines to support explainable compliance workflows
- Integrate large language models into secure, production-grade environments
- Develop model evaluation frameworks and continuously improve performance, trust, and explainability
- Partner with Data Engineers, DevSecOps, Full Stack Engineers, and Financial SMEs to deliver scalable AI-enabled capabilities
What You'll Need To Succeed:
- Active Secret clearance required
- Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related field
- Minimum 5 years of AI/ML engineering experience
- Experience supporting DoD or regulated federal environments preferred
- Experience designing and deploying machine learning models in regulated environments
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar
- Experience building and optimizing Retrieval-Augmented Generation (RAG) workflows
- Familiarity with embedding models, vector databases, and semantic search architectures
- Experience with prompt engineering, structured output parsing, and model evaluation frameworks
- Understanding of model governance, bias mitigation, and explainability in compliance-driven contexts
- Experience integrating AI models into secure, containerized production environments
SALARY: $147,000 - 156,000
The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including:
- The candidate's professional background and relevant work experience
- The specific responsibilities of the role and organizational needs
- Internal equity and alignment with current team compensation
- This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:
- Performance-based bonuses
- Company-paid training and/or certifications
- Referral bonuses
To apply for this position, please submit your resume via the form below or through our careers page.
Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.
Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance.
Benefits: All full-time employees are eligible to participate in our benefits programs:
- Health, dental, and vision insurance
- 401(k) retirement plan with company match
- Paid time off (PTO) and holidays
- Parental Leave and dependent care
- Flexible work arrangements
- Professional development opportunities
- Employee assistance and wellness programs
We are big fans of our people. That's why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.
Commitment to Non-Discrimination: All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
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