- Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, and governance
- Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
- Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
- Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
- Optimize performance, reliability, and cost of the ML platform
- Evaluate and integrate emerging Databricks features
- Serve as senior ML technical advisor to Faire’s data science and production engineering teams
- Mentor ML engineers and raise the overall bar for Machine Learning at Faire
PythonSQLMachine Learning+5 more