AI/ML Engineer

📋 Description Design, develop, and deploy machine learning models on the Databricks platform. Build and operationalize end-to-end ML pipelines using Databricks, including feature engineering Leverage Databricks MLflow for experiment tracking, model registry, and end-to-end ML lifecycle Experience with Databricks AI/BI Genie for conversational analytics, self-service insights, and Hands-on experience with Databricks Agent Bricks for building, orchestrating, and operationalizing Build agentic AI solutions on Databricks to support decision-making use cases, including rule-based 🎯 Requirements Hands-on experience with Databricks Agent Bricks for building, orchestrating, and operationalizing Strong understanding and implementation experience with Generative AI solutions on Databricks Experience working with large-scale structured and unstructured datasets using Databricks Delta A good understanding of retail and CPG data domains is preferable. 🎁 Benefits AI-powered accelerators to turn months of work into weeks of results. Opportunity to work with enterprise clients spanning Financial Services, Healthcare & Life Challenging but highly rewarding career path.