Machine Learning Engineer

• Own model lifecycle (data curation, training, eval, bias/robustness testing, lineage) and MLOps pipelines.
• Partner with product and mission SMEs to translate analytic needs into performant, explainable models.
• Implement model risk mgmt (traceability, audit, and RMF-aligned documentation) and observability at runtime.
• Coach engineers; establish coding, review, and evaluation standards.
• Prepare AI models and analytic products for quality assurance testing, documentation, and approval.

Senior AI/ML Engineer II

Senior Machine Learning Scientist – Search, Recommendations, AI Engineering

Lead AI Engineer

Mid-Level AI/ML/NLP Engineer

Legal GenAI Platform Specialist

Lead Full-Stack GenAI Platform Software Engineer