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    AI/ ML Consultant - Pune, India - Quantum Integrators

    Quantum Integrators
    Quantum Integrators Pune, India

    Found in: Talent IN 2A C2 - 1 week ago

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    Description

    Position - AI/ ML Consultant

    Location - Pune

    Duration - Full Time with Quantum

    Main responsibilities :

    • Develop and support AI/ML solution using best in-class 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 non-technical audiences.
    • Ability to work alone and as part of a team in a fast-paced 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.
    • Hands-on understanding of deep learning, loss functions, and optimization techniques and other ML algorithms and infrastructure is a plus
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