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    Home/Jobs/AI / ML Engineer

    AI / ML Engineer

    Accenture

    Pune
    2-5 years
    46 days ago
    ₹8–19 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    TensorFlow
    PyTorch
    AWS
    Azure
    GCP
    NLP

    Description

    As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing.

    Role: AI / ML Engineer

    Location: Pune

    Experience:

    • Minimum 3 year(s) of experience is required
    • 5 years of experience in Large Language Models

    Key Skills:

    • Large Language Models (LLMs)
    • deep learning frameworks such as TensorFlow or PyTorch
    • cloud platforms like AWS, Azure, or Google Cloud
    • natural language processing techniques and tools

    Qualification:

    • 15 years full time education

    Role Focus: • Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality • Be able to apply GenAI models as part of the solution • deep learning, neural networks, chatbots, image processing

    Additional responsibilities:

    • Expected to be an SME
    • Collaborate and manage the team to perform
    • Responsible for team decisions
    • Engage with multiple teams and contribute on key decisions
    • Provide solutions to problems for their immediate team and across multiple teams
    • Mentor junior professionals to enhance their skills and knowledge
    • Continuously evaluate and improve existing AI systems and applications

    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.

    Large Language Models: Application through Production

    edX

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

    Deep Neural Networks with PyTorch

    Coursera

    Hands-on PyTorch from tensors to CNNs and transfer learning.

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