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    Home/Jobs/AI/ML Engineer - Python, LLM, RAG, Cloud

    AI/ML Engineer - Python, LLM, RAG, Cloud

    UnitedHealth Group

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

    Skills Required

    LLM
    RAG
    LangChain
    Agentic AI
    Gen AI
    Transformer Architectures
    FastAPI
    Python
    C#
    .NET
    SQL
    Terraform
    GitHub Actions
    CI/CD
    Azure

    Description

    Optum, a global organization under UnitedHealth Group, seeks an AI/ML Engineer to develop and deploy machine learning models and AI solutions that improve health outcomes. The role involves working with advanced AI technologies and cloud platforms to deliver scalable, secure, and maintainable software.

    Company: Optum

    Role: AI/ML Engineer - Python, LLM, RAG, Cloud

    Location: Bengaluru, Karnataka

    Experience:

    • 3+ years of experience in Python programming
    • 2+ years of software engineering and testing experience in C# / .Net programming language
    • 2+ years of experience with deploying and managing ML models on cloud platforms such as Microsoft Azure or any other Cloud platform
    • 2+ years of Database Design/Programming
    • 1+ years of Terraform scripts understanding
    • 1+ years of Git action and CI/CD experience

    Key Skills:

    • Python
    • C#
    • .NET
    • SQL
    • FastAPI
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Transformer Architectures
    • Generative AI
    • Machine Learning
    • Natural Language Processing (NLP)
    • Natural Language Understanding (NLU)
    • Semantic Understanding
    • Intent Classification
    • Computer Vision
    • Deep Learning
    • Automatic Speech Recognition (ASR)
    • Cloud platforms (Azure preferred)
    • Terraform
    • GitHub Actions
    • CI/CD pipelines
    • Agentic AI concepts and frameworks (LangGraph, LangChain)

    Role Focus:

    • Understand Facets Delivery, Client priority and requirements
    • Build scalable and high-performing AI solutions using LLMs, RAG, and Transformer Architectures
    • Develop generative AI algorithms and models to create new data samples, patterns, or content
    • Build and maintain robust APIs using frameworks such as FastAPI
    • Develop secure, maintainable software using C#, .NET, SQL and modern engineering patterns
    • Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure
    • Implement machine learning and natural language processing projects from concept to production
    • Conduct rigorous model testing, validation, and performance optimization
    • Containerize AI/ML projects and implement CI/CD pipelines
    • Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets
    • Mentor and lead other engineers
    • Ensure code quality and security by identifying and resolving vulnerabilities
    • Maintain solid programming practices and standards
    • Provide timely updates on tasks to reporting supervisor
    • Adhere to defined SLA compliance
    • Provide support and leadership in critical production support issue resolution
    • Participate in on-call rotations as scheduled
    • Work with team to achieve timely resolution of all production issues meeting or exceeding SLAs
    • Analyze and investigate issues and provide explanations within area of expertise

    Additional responsibilities:

    • Comply with employment contract terms, company policies, and directives including transfer, reassignment, work shifts, and alternative work arrangements
    • Stay current with emerging trends and advancements in generative AI and ML technologies

    Nice to have:

    • Prompt engineering experience
    • Experience leveraging Large Language Models (LLMs)
    • Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
    • Experience with challenges of delivering and monitoring LLM based cloud systems into production
    • Healthcare Claims EDI Experience
    • Proven solid communication skills to explain complex technical concepts to diverse audiences

    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 make the health system work better for everyone
    • Commitment to mitigating environmental impact and delivering equitable care addressing health disparities

    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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