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  • AI/ML/DL Engineer
    New
    AI/ML

    AI/ML/DL Engineer

    Kraków
    6 102 - 8 543 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Hybrid

    Tech stack

      Machine Learning

      master

      PyTorch

      master

      AI Pipelines

      master

      Deep Learning

      master

      Python

      master

    Job description

    Online interview
    Friendly offer

    EER Poland is looking for an ML Engineer join the core AI/ML team to design, analyze and optimize workloads from various sources on our client's's platform.


    Our Client is a multinational semiconductor company that is working on a unique solution, a platform identifying missing gaps and new requirements for SW/HW, to improve workload performance and efficient deployment. Thanks to the solid support of the biggest giants in the market (IBM, Samsung) and the experience of the founders (including former employees of Intel or Marvell), the company is now expanding its branch in Poland


    Hybrid work mode with 2 days in the office (Krakow)



    Your role:

    • Designing, analyzing, and optimizing workloads from various sources (open source, customer-provided, home-grown) on Neureality platforms. The focus is on workloads for NLP, speech, and computer vision.
    • Benchmarking and competitive analysis of workloads on other inference acceleration platforms.
    • Working directly with customers on new requirements and efficient deployment of their workloads on
    • This is an exciting opportunity to work on cutting-edge and emerging technologies, across multi-disciplinary domains of deep-learning models and computer architectures.
    • This is not a position of data science!



    What you need:

    • BSc/MSc in Computer Science or Computer Engineering from an accredited university
    • 3 years of hands-on experience in Python programming and DL frameworks (mainly PyTorch)
    • Experience in ML engineering and specifically, developing AI pipelines (composed of trained DL models and pre/post-processing), data streaming, model zoo handling, and inference serving in production environments.
    • Experience in hardware/embedded system is an advantage
    • Experience in implementing algorithms on embedded system


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    Informujemy, że administratorem danych jest EER POLAND z siedzibą w ZABRZU , ul. JAGIELLOŃSKA 46/6 (dalej jako "administ...more

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