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    Home/Jobs/AI/ML Engineer

    AI/ML Engineer

    UnitedHealth Group

    Hyderabad
    6+ years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    Gen AI
    Embeddings
    Vector Database
    Prompt Engineering
    Fine-tuning
    Python
    SQL
    Pandas
    NumPy
    TensorFlow
    PyTorch
    Scikit-learn

    Description

    Optum, a global organization under UnitedHealth Group, seeks an AI/ML Engineer to develop scalable AI/ML solutions that improve health outcomes. The role involves collaboration across teams and advancing health optimization globally.

    Company: Optum

    Role: AI/ML Engineer

    Location: Hyderabad, Telangana

    Experience:

    • 6+ years of experience in Data Science, AI/ML, or a similar role
    • Experience with the full life cycle of AI/ML projects including EDA, model development, tuning, and drift analysis
    • Hands-on experience in delivering production-grade AI/ML projects

    Key Skills:

    • Python
    • SQL
    • pandas
    • numpy
    • TensorFlow
    • PyTorch
    • Scikit-Learn
    • MLflow
    • Feature Stores
    • ONNX
    • vector databases
    • Azure
    • GCP
    • AWS
    • Synapse
    • BigQuery
    • Dataflow
    • Databricks
    • Kafka
    • EventHub
    • PubSub

    Qualification:

    • Bachelor's degree in Computer Science, Data Science, Statistics, or a related field
    • Master's degree in Computer Science, Data Science, Statistics, or a related field

    Role Focus:

    • Lead design, development, and implementation of scalable AI/ML solutions
    • Oversee end-to-end ML workflows from data preparation to deployment and monitoring
    • Guide model selection, optimization, and tuning balancing performance, explainability, cost, and Responsible AI principles
    • Build and maintain production-grade ML pipelines with orchestration and experiment-tracking tools
    • Lead drift analysis, observability, and model health monitoring in production environments
    • Design and support scalable, multi-cloud ML infrastructure
    • Collaborate with data engineering teams to integrate real-time and batch pipelines
    • Work closely with engineering, product, data science, and UX teams to translate business requirements into technical solutions
    • Review and guide creation of architecture diagrams, C4 models, ADRs, and technical specifications
    • Mentor and coach data scientists and ML engineers on best practices

    Additional responsibilities:

    • Comply with employment contract terms, company policies, and directives including possible transfer, reassignment, or changes in work environment and shifts
    • Adapt to company policy changes and directives as required

    Nice to have:

    • Knowledge of Big Data technologies such as PySpark and Hadoop
    • Experience with data streaming tools like Kafka

    Other:

    • No travel required
    • Exempt overtime status
    • Culture guided by inclusion, talented peers, comprehensive benefits, and career development opportunities
    • Mission to help people live healthier lives and improve health system equity
    • Commitment to mitigating environmental impact and delivering equitable care

    Prepare for this role

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

    Python 3 Programming Specialization

    Coursera

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

    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.

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