Design and implement Python-based automations to support Databricks platform operations and Next-Gen platform integration
Automate provisioning, configuration, and governance of Databricks workspaces for new project onboarding
Standardize workspace setup, access controls, and configurations to ensure repeatability, security, and compliance
Build and enhance automations supporting MLOps and LLMOps workflows, including model training, experiment tracking, validation, registration, and promotion
Implement deployment automation for ML models, LLM-based services, Databricks apps, and notebooks