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    Product Manager - Delhi, India - EdgeVerve

    EdgeVerve
    Default job background
    Description
    EdgeVerve is a global leader in AI, Automation, and Analytics . It is a wholly-owned subsidiary of Infosys. EdgeVerve develops innovative software products and offers them on-premise or as cloud-hosted business platforms. Its technology empowers enterprises globally to bring life to their digital transformation initiatives. EdgeVerve aims to create a world where its technology augments human intelligence and creates possibilities for enterprises to thrive.


    Product :


    EDGE Platform, part of Infosys Topaz, bridges silos in people, processes, data, and technology for enterprises, amplifying the value of their existing digital core investments.

    EDGE Platform platform acts as a transformative overlay, seamlessly integrating with enterprises' existing systems.

    It enables businesses to adopt cutting-edge capabilities, enhance operational efficiency, and unlock new opportunities for growth and innovation, all without disrupting their foundational systems.


    Role :
    Product Manager


    Responsibilities :

    • Partner with Internal and External stakeholders and contribute in building overall product strategy.
    • Helps to define the product vision.
    • Communicate with all stakeholders, prepare project plans, release notes, etc., and conduct timely businesstechnology governance meetings.
    • Work with engineering /UX teams to provide comprehensive business solutions.

    Experience Required :
    -9+ years

    in the industry with minimum of 5+ years in product Management.

    • Prior Experience in
    AI enabled / using products - NLP or Computer vision or ML or AI.

    • Familiarity with various generative AI models, such as generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer models, is important to understand their strengths, limitations, and use cases.
    • Experience in transformer models like BERT, Contract BERT
    • Machine Learning, AI, Language models experience, or experience in AI builder products.
    • Limited experience in Data science and data engineering is a plus
    • Scaled agile product management principles

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