Senior AI/ML Engineer - Healthcare Experience
Optum (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 40–65 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of AI/ML solutions with a focus on enterprise-level agentic solutions and Gen AI applications including fine-tuning LLMs and retrieval-augmented generation (RAG).
- Develop and deploy advanced NLP, Document AI, OCR, and vector embedding solutions integrating with cloud platforms (Azure, AWS, GCP).
- Own end-to-end delivery by translating business requirements into products with a strong product mindset and problem-solving focus.
Minimum Requirements
- Bachelor's degree or higher in Computer Science Engineering.
- 10+ years of experience in AI/ML roles with hands-on implementation of Gen AI, fine-tuning LLMs, and agentic solutions using frameworks like Langgraph, Google ADK, CrewAI.
- Proficiency in Python, PyTorch, SQL, and familiarity with OpenAI API, Streamlit, Flask, FastAPI, Docker, and cloud environments (Azure, AWS, GCP).
- Experience implementing machine learning techniques (supervised, unsupervised, reinforcement learning, deep learning, NLP) and deploying LLMs; Healthcare experience preferred but not mandatory.
Ideal Candidate Profile
- Experienced AI/ML professional capable of independently delivering complex AI products from business requirements to production deployment.
- Strong expertise in modern AI frameworks for agentic systems and LLM fine-tuning, with operational knowledge of vector databases and document extraction.
- Comfortable working within healthcare domain challenges, leveraging cloud infrastructure and integrating cutting-edge NLP and Gen AI technologies.