MLOps Engineer

Role overview

Support model deployment, feature pipelines, experiment tracking, and monitoring systems used by ML and AI teams. At Lakefront Secure, you will work closely with product, platform, and leadership partners to ship measurable impact in a U.S.-based hiring environment.

Requirements

ML platform tooling, containers, orchestration, observability, and experience keeping ML systems reliable in production. Candidates who communicate clearly, write high-quality technical work, and thrive in modern software teams will do well here.