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    Home/Jobs/Associate AI/ML Engineer

    Associate AI/ML Engineer

    UnitedHealth Group

    Bengaluru
    3+ years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Hugging Face
    LangChain
    Python
    NLP
    MLOps
    PyTorch
    TensorFlow
    AWS
    Cloud computing
    API Integration
    CI/CD

    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: Associate AI/ML Engineer

    Location: Bengaluru, Karnataka, India

    Experience:

    • 3+ years of total software engineering experience
    • 2+ years hands on in AI/ML (e.g., NLP, GenAI, predictive modeling, or recommendations)
    • Experience building and integrating model backed APIs/services (Python/Node/Java) into production systems

    Key Skills:

    • NLP/LLMs
    • classical ML
    • Python
    • PyTorch/TensorFlow
    • Hugging Face
    • LangChain
    • MLOps
    • CI for ML
    • model registry
    • reproducible experiments
    • API integration
    • cloud environments

    Qualification:

    • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience)

    Role Focus:

    • Design and build AI-powered features using NLP/LLMs and classical ML for provider chat and voice workflows
    • Deliver end to end: data preparation, modeling/experimentation, evaluation, API integration, deployment, and monitoring in cloud environments
    • Implement responsible AI guardrails (content safety, PHI/PII controls, prompt hygiene, evaluation suites) and collaborate with governance/review partners
    • Develop and maintain web services and APIs that expose ML capabilities; write clear documentation and runbooks
    • Apply MLOps practices (CI for ML, model registry, reproducible experiments) and contribute to on call/operational support with mentorship
    • Collaborate with product, architecture, security, data, and platform teams to align with enterprise standards and deliver measurable outcomes
    • Continuously improve code quality, test coverage, latency, reliability, and cost per inference

    Additional responsibilities:

    • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives
    • Analyzes and investigates
    • Provides explanations and interpretations within area of expertise

    Nice to have:

    • Exposure to healthcare data/processes (e.g., claims, appeals, prior authorization, provider operations) or other regulated industries
    • Experience with conversational AI (intent/entity models, retrieval augmented generation, grounding) and vector databases
    • Familiarity with MLOps toolchains (feature stores, pipelines, model registry) and evaluation frameworks (toxicity, hallucination, bias, drift)
    • Full stack curiosity (UI integrations, design systems) and a habit of sharing learnings via demos, office hours, or internal wikis

    Other:

    • Overtime status: Exempt
    • Travel: No
    • Comprehensive benefits and career development opportunities

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

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