Develop and implement end-to-end machine learning solutions using Databricks, leveraging its Unified Analytics Platform Fine-tune and optimize machine learning models deployed in production environments Set up and manage automation processes for model training, evaluation, and deployment on Databricks Optimize Databricks cluster configurations and resource utilization to manage overall platform costs efficiently Collaborate with cross-functional teams to integrate ML solutions into existing products and workflows Implement best practices for version control, testing, and documentation of ML models and pipelines Monitor and analyze model performance, making data-driven decisions for continuous improvement