MLOps Engineer — AI/ML Systems & Deployment (TS/SCI Preferred)

MLOps Engineer to own the lifecycle of AI/ML systems—from experimentation to deployment—within a mission-critical, classified environment supporting Air Force and NASIC-aligned programs.

Requirements

• Own the ML Lifecycle (End-to-End)
• Build and operate production-grade ML pipelines
• Implement model versioning, lineage, and reproducibility standards
• Design systems for reproducibility, auditability, and stability
• Build Cloud-Native ML Infrastructure
• Establish Data Discipline
• Create Repeatable Systems

Benefits

• 100% covered certifications & training aligned to your role
• 401(k) with 100% match up to 6%
• Highly competitive PTO
• Comprehensive Medical, Dental, Vision coverage
• Life Insurance + Short & Long-Term Disability
• Home office & equipment plan
• Industry-leading weekly pay schedule