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Chevy Chase

    Machine Learning Engineer - Chevy Chase, United States - FUTURALIS

    FUTURALIS
    FUTURALIS Chevy Chase, United States

    1 week ago

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    Description
    This is a remote position.


    Futuralis is looking for an experienced individual to join our team as a Machine Learning Engineer (MLE) and Data Architect.

    This role combines the responsibilities of designing and implementing machine learning solutions with architecture robust data pipelines.

    If you are passionate about leveraging cutting-edge technologies to solve complex problems and drive business insights, we want to hear from you.

    Requirements

    Design and implement end-to-end machine learning workflows using SageMaker Pipelines.
    Develop and optimize distributed training pipelines for scalable and efficient model training.

    Write comprehensive unit tests in Python to ensure the reliability and accuracy of machine learning models and data processing pipelines.

    Architect and optimize SQL-based solutions using Athena and Redshift for efficient data querying and analysis.
    Design and manage ETL jobs at scale to handle large volumes of data effectively.
    Develop and maintain big data pipelines for processing and analyzing massive datasets.

    Nice to Have

    Familiarity with MLOps practices, particularly around Generative Artificial Intelligence (Gen AI).
    Additional experience with machine learning frameworks and tools is a plus.

    #J-18808-Ljbffr


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