Senior Machine Learning Engineer

Job Summary

Owning the ML lifecycle end-to-end, the full-time Senior Machine Learning Engineer will deploy models into production, monitor ML drift, and build automation for the ML lifecycle while working remotely.

Key responsibilities

• Deploy ML models into production using CI/CD best practices
• Monitor and manage ML drift; retrain models as needed
• Build automation for ML lifecycle (training, inference, observability)

Required qualifications

• Strong experience with CI/CD (GitHub Actions, build automation, packaging)
• Expertise in MLOps (MLflow, model versioning, monitoring)
• Hands-on with Databricks (Delta Lake, Unity Catalog, Asset Bundles)
• Proficient in Python and PySpark
• 3-6 years of relevant experience