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    Home/Jobs/AI / ML Engineer

    AI / ML Engineer

    Accenture

    Pune
    5-10 years
    19 days ago
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    TensorFlow
    PyTorch
    Deep Learning
    Neural Networks
    AWS
    Azure
    GCP

    Description

    As an AI / ML Engineer, you will develop AI applications and systems using generative AI models and cloud AI services, collaborating with teams to deliver production-ready solutions.

    Role: AI / ML Engineer

    Location: Pune

    Experience:

    • 5+ years in Generative AI

    Qualification:

    • 15 years full time education

    Role Focus: • Develop applications and systems utilizing AI tools and cloud AI services • Apply generative AI models as part of solutions • Design and implement production-ready application pipelines in cloud or on-prem environments • Collaborate with cross-functional teams to deliver solutions • Stay updated with latest AI technology advancements

    Additional responsibilities:

    • Act as a subject matter expert
    • Collaborate and manage the team to perform
    • Make team decisions
    • Engage with multiple teams and contribute to key decisions
    • Provide solutions to problems across teams
    • Mentor junior team members
    • Continuously evaluate and improve processes and workflows

    Nice to have:

    • Experience with machine learning frameworks such as TensorFlow or PyTorch

    More skills:

    Generative AI, Chatbots, Image processing

    Other:

    • Position is full time
    • Based at 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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