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.