AI or ML Engineer
Optum (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 15–30 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, train, evaluate, deploy, and maintain machine learning and deep learning models, including LLM-powered applications and workflows.
- Build and maintain robust data pipelines for data collection, cleaning, and preprocessing for model training and deployment.
- Implement MLOps best practices for model lifecycle management, evaluation frameworks, and reliability of generative AI systems including prompt engineering and output validation.
Minimum Requirements
- Hands-on experience with ML frameworks like TensorFlow, PyTorch, Keras, or Scikit-learn.
- Experience integrating LLM APIs (Anthropic Claude, OpenAI, Azure OpenAI) and building LLM workflows using orchestration frameworks (LangGraph, LangChain).
- Proficiency in Python, R, or Java programming; experience with SQL and data processing tools such as Pandas and NumPy.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Deep understanding of machine learning, deep learning, statistical modeling, and core generative AI concepts like RAG, prompt engineering, and embeddings.
- Familiarity with cloud platforms (AWS, Google Cloud, Azure), Databricks, and MLOps principles for production deployment and monitoring.
- Experienced in building production-grade AI solutions involving LLM reliability, evaluation tooling, and structured, type-safe output validation using Pydantic.