Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive advantages and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities

Own and drive the end-to-end Machine Learning lifecycle, including data ingestion, feature engineering, model development, training, evaluation, deployment, monitoring, retraining, governance, and rollback strategies
Architect, build, and operate enterprise-scale ML platforms and production-grade pipelines on Azure, leveraging Infrastructure-as-Code, CI/CD, MLOps, and automation best practices
Implement and manage Azure Machine Learning and MLflow for experiment tracking,



model versioning, model registry, reproducibility, and controlled promotion across Development, Test, and Production environments
Engineer and operationalize Agentic AI workflows incorporating multi-step reasoning, tool integrations, workflow orchestration, guardrails, observability, reliability, security, and cost optimization
Design and build scalable batch and real-time data processing pipelines using Azure Databricks, Spark, Delta Lake, and streaming technologies
Develop robust data pipelines for structured, semi-structured, and unstructured data, including documents, text, logs, images, and other multi-modal data sources
Build and optimize RAG pipelines, including document ingestion, chunking strategies, embedding generation, indexing, retrieval optimization, re-ranking, and response evaluation frameworks
Develop high-performance batch and streaming ingestion frameworks utilizing Spark, Kafka,

📌 Data Engineering Manager (Noida)
🏢 Optum India
📍 Noida