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    Home/Jobs/Senior AI/ML Engineer

    Senior AI/ML Engineer

    UnitedHealth Group

    Hyderabad
    7+ years
    45 days ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    Ragas
    LangGraph
    PyTorch
    TensorFlow
    Keras
    Azure ML
    MLflow
    Apache Airflow
    Kubeflow
    Docker
    Kubernetes
    Azure

    Description

    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 benefits, 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.

    Company: Optum

    Role: Senior AI/ML Engineer

    Location: Hyderabad, India

    Experience:

    • 7+ years of professional experience in AI/ML or Data Science with track record of production deployments
    • 4+ years hands-on Python (typing, testing, packaging) and Git/GitHub workflows
    • 4+ years with deep learning frameworks (PyTorch and/or TensorFlow/Keras)
    • 3+ years deploying AI/ML solutions in production (APIs, batch, or streaming), preferably on Azure

    Qualification:

    • Bachelor's degree in Computer Science, Data Science, or related field; or equivalent practical experience

    Role Focus: • Design, develop, and deploy AI/ML solutions using LLMs, RAG, and Agentic AI patterns • Architect scalable retrieval pipelines and integrate tool/function calling for agent workflows • Build reproducible ML pipelines • Implement CI/CD for ML • Containerize services with Docker and deploy to Kubernetes • Deploy on cloud platforms with robust observability • Implement A/B tests, canary releases, and performance optimization • Own cost governance and capacity planning • Conduct rigorous evaluation using offline metrics + human-in-the-loop • Implement guardrails and content safety checks • Collaborate with data engineering to operationalize data • Design and manage vector databases/search and feature stores • Partner with stakeholders to preprocess, analyze, and interpret large-scale datasets • Ensure code quality and security • Adhere to data governance, model review, and compliance requirements • Champion Responsible AI practices • Lead technical design reviews, guide trade-off decisions, and mentor engineers and data scientists

    Additional responsibilities:

    • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives

    More skills:

    Agentic AI patterns, Azure Cognitive Search, Pinecone, Milvus, FAISS/Chroma, Databricks, Spark, Snowflake, Delta Lake

    Other:

    • Shift Time: 11:00 AM - 8:30 PM
    • Overtime status: Exempt
    • Travel: No

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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