Senior AI/ML Engineer - Bangalore
Optum (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted on 14 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, development, and deployment of machine learning and deep learning models for business applications, including generative AI and large language model (LLM) workflows.
- Build and maintain robust data pipelines and ensure continuous model training, evaluation, and reliable production deployment using MLOps best practices.
- Collaborate cross-functionally to integrate AI/ML solutions, implement evaluation and validation frameworks for generative AI for accuracy, safety, and cost-efficiency.
Minimum Requirements
- Hands-on experience with ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn) and integrating LLM provider APIs (Anthropic Claude, OpenAI, Azure OpenAI).
- Experience building LLM workflows using orchestration tools such as LangGraph and LangChain.
- Strong programming skills in Python, R, or Java; proficiency with SQL and data processing libraries (Pandas, NumPy); familiarity with cloud ML services (AWS, Azure, Google Cloud).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in end-to-end ML lifecycle from data handling and model training to production deployment and MLOps in a cloud environment.
- Technical expertise in cutting-edge generative AI concepts such as retrieval-augmented generation (RAG), prompt engineering, and LLM output validation.
- Comfortable working in a complex, technology-driven environment requiring close cross-functional collaboration with data scientists, engineers, and product teams.