Freelancer Databricks Machine Learning Engineer
Core
Architect, build, and scale an enterprise MLOps platform bridging experimental data science and production engineering.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
End-to-end ML pipelines, real-time endpoints, batch pipelines, and production observability systems.
Domain
Enterprise Data & Machine Learning
Deliverable
production ML models
Required skills
Python, PySpark, MLflow, Unity Catalog, Delta Lake, Terraform, CI/CD, AWS/Azure/GCP
Preferred skills
Databricks Asset Bundles (DABs), Docker, scikit-learn, XGBoost, LightGBM, PyTorch
Technologies
Databricks, MLflow, Delta Lake, Unity Catalog, PySpark, Terraform, GitHub Actions, GitLab CI, Azure DevOps
Responsibilities
Architect and automate MLOps pipelines; Deploy and optimize model serving endpoints; Design scalable data transformation workflows; Enforce governance and security; Implement production observability; Lead CI/CD and infrastructure modernization; Mentor cross-regional teams.
Seniority
Senior, hands-on IC
