MLOps Engineer

This role involves building and operating the infrastructure, tooling, and processes to keep machine learning models running reliably in production. The position sits at the intersection of data engineering, platform engineering, and applied ML, enabling data scientists and ML engineers to move faster and ship with confidence. The ideal candidate will have 4–8 years of experience in MLOps, DevOps, or platform/data engineering with direct experience in cloud environments.