MLOPS engineer
Summary
Build and maintain ML pipelines on Google Cloud, containerize models with GKE/Cloud Run, and automate deployments using CI/CD tools like Cloud Build.
Job Title: MLOPS Engineer Location: Remote (travel to Santa Monica, CA if required) Technical Skills: Experience in MLOps, DevOps, or ML Engineering, with hands-on Google Cloud Platform experience Strong Python skills; comfortable with Bash and scripting for automation Proficiency with BigQuery - writing/optimizing SQL, scheduled queries, and integrating with ML pipelines Experience with GKE or Cloud Run for containerized workloads Experience with Cloud Build or similar CI/CD tools for automate…