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    Machine Learning Engineer - Cologne, Deutschland - Synergie-Effekt GmbH

    Synergie-Effekt GmbH
    Synergie-Effekt GmbH Cologne, Deutschland

    vor 3 Wochen

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    Ganztags
    Beschreibung


    Project number:


    Title/position:
    Machine Learning Engineer (m/f/div)

    Description:
    We are now looking for the following external support for our customer:
    Machine Learning Engineer

    job description
    • You independently develop the necessary data processing steps in an existing AWS environment.
    • End-2-end product responsibility (development, DevOps, testing etc.).
    • You have your finger on the pulse and can use the latest developments in large language models and language processing. However, classic machine learning is not neglected.
    • In direct contact with the departments, you can expect solution-oriented work - even if it's not rocket science.
    • You will bring us step by step closer to our future vision of a data driven company and play a key role in shaping the architecture.
    • We communicate at eye level.
    Profile requirements
    • You have many years of experience building data processing pipelines in AWS.
    • You are familiar with Terraform, Airflow, AWS S3, Sagemaker and other typical AWS services.
    • You have already gained initial experience with Databricks.
    • You can implement and produce classic ML and NLP use cases.
    • You like to work independently in dialogue with requesters.
    • Through your insights into the data, you bring in new use cases and ideas.
    • You can accompany the request process. From ideation to usable product.
    • You are characterized by high self-motivation and flexibility, as well as good teamwork and a structured way of working.
    • What you don't know yet, you learn.
    General conditions:
    Start: immediately
    Duration: end of 2024 +
    full utilization
    Location: Cologne and remote (suburb/remote quota approx. 40% (suburb) and 60% (remote))

    Location:
    Cologne / remote

    Begin:
    04/02/2024

    Duration:
    12/31/2024 +
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