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    vor etwa 2 Monate
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    Vollzeit
    Mid-Level
    #geospatial#remotesensing#satellite

    Machine Learning Engineer (f/m/x) in the field of AI & Satellite Data

    LiveEO
    Link zu LiveEO
    Berlin
    Jetzt bewerben
    Der folgende Stellentext wurde von uns automatisch zusammengefasst.

    Einführung

    LiveEO is seeking a highly skilled Machine Learning Engineer to join their dynamic team in Berlin. The role involves leveraging satellite imagery and artificial intelligence to provide actionable insights for various industries. Responsibilities include building and maintaining data pipelines, designing training pipelines, and refactoring existing model implementations. The ideal candidate should have strong Python programming skills, experience in handling large datasets, and familiarity with MLOps and orchestration engines like Prefect. Benefits include flexible working hours, career development opportunities, team building activities, and office perks in Berlin Kreuzberg.

    Aufgaben

    • Build and maintain efficient and reliable pre-processing pipelines for large volumes of satellite imagery and related data
    • Work with orchestration engines to automate workflows
    • Design and build training pipelines, including data pre-processing and dataset management
    • Refactor, redesign, and rebuild existing model implementations

    Voraussetzungen

    • Excellent Python programming skills with a focus on clean and efficient code
    • Experience in designing and maintaining data pipelines with large datasets
    • Willingness to work on the engineering side of Machine Learning, including model deployment and data throughput optimization
    • Ability to work both independently and as a team player
    • Experience with MLOps and model serving best practices
    • Familiarity with orchestration engines like Prefect and setting up CI/CD pipelines

    Benefits

    • Opportunity to create a product with global impact
    • Flexible working hours and hybrid work model
    • Career development empowerment and creative freedom
    • No overtime culture, emphasis on work-life balance
    • Team building opportunities, collaborative environment
    • Potential participation in employee stock option program
    • Office located in Berlin with additional benefits like free fruit, Urban Sports membership, and BVG subsidy
    vor etwa 2 Monate

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