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    Home/Jobs/AI / ML Engineer

    AI / ML Engineer

    Accenture

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

    Skills Required

    LLM
    Gen AI
    Deep Learning
    Neural Networks
    chatbots
    image processing
    TensorFlow
    PyTorch
    AWS
    Azure
    GCP
    NLP

    Description

    As an AI / ML Engineer, you will develop AI applications and systems using cloud AI services and generative AI models, ensuring production-ready quality and performance.

    Role: AI / ML Engineer

    Location: Pune

    Experience:

    • Minimum 3 years of experience
    • 3+ years of experience in Large Language Models

    Qualification:

    • 15 years full time education

    Role Focus:

    • Develop applications and systems utilizing AI tools and cloud AI services
    • Apply generative AI models as part of solutions
    • Design and implement production-ready AI solutions
    • Integrate deep learning and neural network techniques
    • Work on chatbots and image processing projects
    • Ensure systems meet high-quality standards
    • Optimize AI solutions for performance and scalability
    • Collaborate with cross-functional teams to gather requirements
    • Continuously evaluate and improve AI models and applications

    Additional responsibilities:

    • Perform independently and become a subject matter expert
    • Participate actively in team discussions
    • Provide solutions to work-related problems

    More skills:

    Large Language Models (LLMs), Software development best practices, Version control, Testing methodologies

    Other:

    • Position based at Pune office

    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.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

    Large Language Models: Application through Production

    edX

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

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