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    Home/Jobs/AI / ML Engineer

    AI / ML Engineer

    Accenture

    Hyderabad
    5+ years
    47 days ago
    ₹18–35 LPA
    Full-time
    Onsite

    Skills Required

    Machine Learning
    TensorFlow
    PyTorch
    AWS
    Azure
    GCP

    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 creating production-ready quality solutions, applying generative AI models, and working with various technologies such as deep learning, neural networks, chatbots, and image processing. You will collaborate with cross-functional teams to ensure the successful implementation of AI-driven solutions, contributing to innovative projects that enhance operational efficiency and user experience.

    Company: Accenture

    Role: AI / ML Engineer

    Location: Hyderabad, Telangana, India

    Experience:

    • Minimum 5 Year(s) Of Experience Is Required
    • 5 years of experience in Machine Learning (ML)

    Key Skills:

    • Machine Learning (ML)
    • deep learning frameworks such as TensorFlow or PyTorch
    • cloud platforms like AWS, Azure, or Google Cloud
    • data preprocessing
    • feature engineering techniques

    Qualification:

    • 15 years full time education

    Role Focus: • 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 • Facilitate knowledge sharing sessions to enhance team capabilities • Monitor project progress and ensure alignment with strategic goals

    Other:

    • This position is based at our Hyderabad office

    Prepare for this role

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

    Deep Learning Specialization

    Coursera

    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

    Deep Neural Networks with PyTorch

    Coursera

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

    Machine Learning Specialization

    Coursera

    Andrew Ng's updated ML course — regression, classification, neural networks, and decision trees.

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