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    Data Scientist - Bangalore/Anywhere in India/Multiple Locations - Quantum Integrators

    Quantum Integrators
    Quantum Integrators Bangalore/Anywhere in India/Multiple Locations

    1 day ago

    Default job background
    permanent Technology / Internet
    Description

    Job Description:

    Main responsibilities :

    • Develop and support AI/ML solution using best inclass LLM/DL/ML models and statistical techniques.
    • Perform code development, Unit testing, System testing, and debugging HPE's applications.
    • Collaborate with business users, understand requirements, develop design specifications and develop IT solutions for support and strategic projects.
    • Support the decision making related to optimal systems landscape in constantly changing environment.
    • Resolve production support issues and work towards reduction of support incidents through implementation of long term and sustainable fixes.

    Knowledge and Skills:

    • Deep familiarity across the stack compute infrastructure, ML frameworks, orchestration layers, large models, frameworks like Langchain for developing applications powered by GenAI models, MLOPs, as well as target use cases in the cloud.
    • Experience with GenAI models across training, inference, MLOPs, and/or developing GenAI applications.
    • Experience with data engineering techniques and different platforms including vector DB & knowledge graphs.
    • Experience with one or more general purpose programming languages, including but not limited to: C/C++, C#, Python.
    • Experience training large models across compute types and developing applications powered by GenAI models.
    • Experience with prompt engineering and the ability to craft effective prompts for various applications.
    • Familiarity with ethical considerations in AI development and deployment.
    • Excellent written and verbal communication skills, with the ability to explain complex technical concepts to nontechnical audiences.
    • Ability to work alone and as part of a team in a fastpaced environment.
    • Experience with cloud computing platforms like AWS, Azure, or GCP.
    • Experience in training and optimizing Generative AI models (GANs, VAEs, diffusion models, etc.) is a plus.
    • Handson understanding of deep learning, loss functions, and optimization techniques and other ML algorithms and infrastructure is a plus
    )
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