Experience evaluating, productionizing, and monitoring traditional AI/ML models using Databricks (or equivalent), including using jobs/workflows, MLflow for experiment tracking and model management, data pipelines, and Delta Lake tables desired. Productionize models and AI systems, working within established CI/CD pipelines and DevOps practices (Github Actions) to support deployment, versioning, release management, and monitoring/alerting for performance, drift/quality, and reliability at scale.