Build and standardize ML Ops services, data pipelines, automation, monitoring, and governance for predictive and generative AI systems. Develop scalable pipelines and integrations across Databricks, AWS SageMaker, and AWS Bedrock; establish feature stores; optimize data processing; and support model deployment, inference, evaluation, and lifecycle management. The role also architects complex data systems, oversees CI/CD pipelines, enhances system performance, translates requirements into solutions, and mentors junior engineers.