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    Home/Jobs/AI / ML Engineer

    AI / ML Engineer

    Accenture

    Hyderabad
    5-10 years
    8 days ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    Large Language Models (LLMs)
    TensorFlow
    PyTorch

    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. You will work on various projects that may include deep learning, neural networks, chatbots, and image processing, ensuring that all systems meet high-quality standards and are effectively integrated into existing workflows.

    Role: AI / ML Engineer

    Location: Hyderabad

    Experience:

    • 5-10 years of experience
    • Minimum 5 year(s) of experience is required

    Key Skills:

    • Large Language Models (LLMs)
    • cloud-based AI services
    • deep learning frameworks
    • TensorFlow
    • PyTorch
    • natural language processing techniques

    Qualification:

    • 15 years full time education

    Role Focus:

    • Develops applications and systems that utilize AI tools, Cloud AI services
    • Apply GenAI models as part of the solution
    • Design and implement production-ready solutions
    • Collaboration with cross-functional teams

    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 team members to enhance their skills and knowledge
    • Continuously evaluate and improve existing systems and processes to enhance efficiency

    Other:

    • This position is based at our Hyderabad 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.

    DeepLearning.AI TensorFlow Developer

    Coursera

    Professional certificate covering TensorFlow for computer vision, NLP, and time series.

    Intro to Deep Learning with PyTorch

    Udacity

    Free course covering PyTorch fundamentals, CNNs, RNNs, and GANs.

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