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Sr. AI/ML Engineer I (6438) at Metrostarsystems
MetrostarsystemsHybrid - Local to D.C. metro area·3h ago
SeniorFull-timePythonRustMachine LearningData ScienceTensorFlowPyTorchAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are 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.
Key Responsibilities
- →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
Requirements
- ✓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
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
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