5–8 years of experience in data science or a closely related role, with at least 2 years working hands-on with Databricks and the broader ecosystem (Delta Lake, MLflow, Unity Catalog, Databricks Workflows) Demonstrated experience owning the full MLOps lifecycle end-to-end: from experiment tracking and model versioning through to deployment, monitoring, drift detection, and retraining pipelines Track record of taking models from development to production and keeping them healthy over time Comfortable across the full stack, data engineering, feature engineering, model development, and operationalization, not siloed in one area Strong communicator who can engage both technical peers and non-technical stakeholders An
