MLOps Engineer — AI/ML Systems & Deployment (TS/SCI Preferred) with Security Clearance
About the Role
MLOps Engineer — AI/ML Systems & Deployment (TS/SCI Preferred) Location: Dayton, OH (On-site Preferred) | Remote Eligible (U.S.-based, Clearance-Ready) Clearance: TS/SCI Preferred | Secret Eligible Overview Rackner is seeking an MLOps Engineer to support the deployment and lifecycle management of AI/ML systems within a secure, mission-focused environment. This role is responsible for operationalizing machine learning capabilities—moving models from experimentation into reliable, deployable, and…
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