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    Home/Jobs/Senior AI ML Engineer

    Senior AI ML Engineer

    UnitedHealth Group

    Bengaluru
    5-8 years
    4 days ago
    ₹25–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    Agentic AI
    Gen AI
    Machine Learning
    Deep Learning
    GCP
    Dialogflow CX
    Google GECX
    Vertex AI
    Python
    LiveKit
    GitHub
    Docker

    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: Bengaluru, Karnataka

    Experience:

    • Experience in Google Dialogflow, GECX, Vertex AI
    • Building AI solutions in Conversational AI

    Qualification:

    • BTECH/BE

    Role Focus: • Design, develop, and deploy ML/DL models using Vertex AI, Python, and GCP-native tools • Build and optimize conversational AI agents using Dialogflow CX, integrating with APIs and backend systems • Develop and fine-tune Large Language Models (LLMs) for various NLP tasks, including summarization, classification, and question answering • Implement Agentic AI systems that can autonomously plan, reason, and execute tasks using LLMs and orchestration frameworks • Leverage Google ADK to build, test, and deploy scalable AI applications aligned with GCP best practices • Integrate and experiment with Agentic AI frameworks to enhance autonomous decision-making and task execution capabilities • Lead by example in technical design, code quality, and solution architecture, mentoring junior engineers informally • Collaborate cross-functionally with engineering and product teams to translate business needs into scalable AI solutions • Maintain and showcase code and projects on GitHub, ensuring reproducibility and collaboration • Monitor model performance, conduct A/B testing, and iterate based on feedback and metrics • Automate ML workflows using CI/CD pipelines, Docker, Kubernetes, and MLOps best practices

    Additional responsibilities:

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

    More skills:

    machine learning (ML), deep learning (DL), Google Cloud Platform (GCP), Agentic AI systems, Google's AI Development Kit (ADK), LiveKit platform

    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

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    Coursera

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

    Generative AI with Large Language Models

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

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