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 automated deployment
Familiarity with Terraform or Deployment Manager for infrastructure as code
Understanding of GCS, Pub/Sub, and Dataflow for data pipeline construction
Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Solid understanding of the ML lifecycle: data versioning, training, validation, deployment, monitoring

MLOPS engineer

Key skills