Manager AI/ML Engineering - LifeScience or Diagnostics
Optum (company site, opens in a new tab)10+ yrsHyderabadOn-siteDirect career pageEst. 40–75 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy advanced GenAI and NLP solutions using transformer models, LLMs, and vector search technologies focused on healthcare and life-science domains.
- Lead integration and optimization of Retrieval-Augmented Generation systems and agentic AI workflows to improve healthcare data processing and decision-making.
- Mentor junior AI/ML engineers, collaborate cross-functionally to translate business AI opportunities into scalable technical solutions, and ensure high-quality production deployments with attention to reliability and safety.
Minimum Requirements
- Bachelor's degree or higher in computer science or engineering with a focus on language processing.
- 10+ years overall experience, including 7+ years in AI, ML, and/or NLP R&D; PhD holders may have experience requirement relaxed.
- Experience in Clinical Trials, FDA Dossier Preparation, Drug Discovery, Lab Information Management Systems, Lab Diagnostics, or related AI enablement in life sciences/diagnostics.
- Proficiency in Python, R, SQL; experience with GPU, repository management, and cloud platforms like Azure, AWS, or GCP.
Ideal Candidate Profile
- Deep expertise in applying AI/ML, especially GenAI and NLP, to healthcare or life-sciences use cases involving structured and unstructured data.
- Experience leading research and production deployment of complex AI systems and mentoring technical teams in fast-evolving AI technologies.
- Skilled at cross-disciplinary collaboration between data engineering, product, and domain experts to implement impactful AI solutions in regulated environments.