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    Home/Jobs/AI / ML Engineer

    AI / ML Engineer

    Accenture

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

    Skills Required

    Large Language Models (LLMs)
    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 that incorporate generative AI models, deep learning techniques, and neural networks. You will also work on enhancing chatbot functionalities and image processing capabilities, ensuring that the applications meet high-quality standards and are optimized for performance in both cloud and on-premises environments.

    Role: AI / ML Engineer

    Location: Pune

    Experience:

    • Minimum 3 year(s) of experience is required
    • 2-5 years

    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
    • data preprocessing and feature engineering for model training

    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
    • Expected to perform independently and become an SME
    • Required active participation/contribution in team discussions
    • Contribute in providing solutions to work related problems
    • Collaborate with team members to brainstorm and develop innovative AI solutions
    • Conduct thorough testing and validation of AI models to ensure reliability and accuracy

    Other:

    • The candidate should have minimum 3 years of experience in Large Language Models (LLMs)
    • This position is based at our Pune office

    Prepare for this role

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

    Deep Neural Networks with PyTorch

    Coursera

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

    AWS Machine Learning Specialty

    Coursera

    Prepare for the AWS ML Specialty certification — SageMaker, Bedrock, and AI services.

    Microsoft Azure AI Engineer Associate

    Coursera

    Azure AI Engineer certification prep — Azure OpenAI, Cognitive Services, and ML pipelines.

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