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 advantages, 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:
- Develop end-to-end training and fine-tuning of Large Language Models (LLMs), including both open-source (e.g., Qwen, LLaMA, Mistral) and closed-source (e.g., OpenAI, Gemini, Anthropic) ecosystems
- Demonstrated publication record in AI domain especially relating to text extraction and summarization
- Architect and implement GraphRAG pipelines, including knowledge graph representation and retrieval for enhanced contextual grounding
- Design, train,



and optimize semantic and dense vector embeddings for document understanding, search, and retrieval
- Develop semantic retrieval systems with advanced document segmentation and indexing strategies
- Build and scale distributed training environments using NCCL and InfiniBand for multi-GPU and multi-node training
- Collaborate with cross-functional teams to translate business needs into AI-driven solutions and deploy them in production environments
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these

📌 Aiml Engineer (Hyderabad)
🏢 UnitedHealth Group
📍 Hyderabad