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    Home/Jobs/AI / ML Engineer

    AI / ML Engineer

    Accenture

    Bengaluru
    5-10 years
    Today
    ₹18–35 LPA
    Full-time
    Onsite

    Skills Required

    Machine Learning Operations
    Deep Learning
    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 creating production-ready pipelines, ensuring the quality of applications, and integrating generative AI models into solutions. You will also explore various AI methodologies, including deep learning and image processing, to enhance system capabilities and performance.

    Role: AI / ML Engineer

    Location: Bengaluru

    Experience:

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

    Key Skills:

    • Machine Learning Operations
    • cloud-based AI services
    • deep learning frameworks
    • TensorFlow
    • PyTorch
    • data preprocessing
    • feature engineering
    • model evaluation metrics
    • performance tuning

    Qualification:

    • 15 years full time education

    Role Focus:

    • Develops applications and systems that utilize AI tools, Cloud AI services
    • Create production-ready pipelines
    • Integrate generative AI models into solutions
    • Explore various AI methodologies
    • Be able to apply GenAI models as part of the solution
    • Deep learning
    • Neural networks
    • Chatbots
    • Image processing

    Additional responsibilities:

    • 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 foster their professional growth
    • Continuously evaluate and implement best practices in AI and machine learning

    Other:

    • This position is based at our Bengaluru office

    Prepare for this role

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

    Deep Neural Networks with PyTorch

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    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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