Note: The job is a remote job and is open to candidates in USA. MetroStar is seeking an AI / ML Engineer to support a high-visibility, enterprise AI-enabled financial compliance initiative for the Department of War. The role involves designing, developing, and deploying AI models for automated compliance translation, anomaly detection, and decision support.

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

Skills

• 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
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or similar
• Experience designing and deploying machine learning models in regulated environments
• 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
• Experience supporting DoD or regulated federal environments

Benefits

• Performance-based bonuses
• Company-paid training and/or certifications
• Referral bonuses
• 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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