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 perks, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits 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

Generative AI Application Development:
Design, build, and deploy features using Large Language Models (LLMs), including conversational AI, summarization, and knowledge extraction
Implement and optimize Retrieval-Augmented Generation (RAG) pipelines, from data preprocessing and embedding to vector search
Apply advanced prompt engineering, fine-tuning (e.g., LoRA), and other model adaptation techniques to enhance performance and accuracy
Machine Learning Model Development & Deployment:




Develop and productionize a range of machine learning models, including both traditional ML (e.g., regression, classification, clustering) and deep learning models
Conduct feature engineering on large-scale datasets to create robust inputs for model training
Establish and manage processes for model evaluation, performance monitoring, and continuous retraining
AI Systems & Integration:
Build and maintain scalable services that integrate with third-party AI APIs (e.g., OpenAI, Azure) and open-source models
Develop agentic workflows that orchestrate multiple tools, models, and data sources to solve complex problems
Work with vector databases (e.g., Pinecone, pgvector) and implement caching strategies to ensure low-latency performance
Collaboration & AI Quality:
Partner with product, data, and engineering teams to translate business needs into deployable AI/ML features
Implement guardrails

📌 Senior AI/ML Engineer (Noida)
🏢 Optum India
📍 Noida