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    4. ML engineer

    ML engineer

    Remotely
    Azure DevOps Machine Learning

    Company

    The company is a professional service partner with more than 14 years of experience in AI consulting. They will help your R&D team develop products and solutions with the latest tools from the NVIDIA technology stack.


    Project

    There is no single project, there is a task common to different projects.


    Tasks

    LLM development, ML training, testing on GPU.

    LLM deployment in Azure.

    Demonstrating expertise in the role.


    Requirements

    Strong experience in ML or DevOps role.

    Proficiency in Azure deployment at a high level.

    Expert knowledge of LLM, NVIDIA DGX.

    Experience with Azure, ability to deploy LLM in Azure.

    English from B2 (conversational English is required).