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Snowflake

    Machine Learning Lead - Snowflake, United States - Experis ManpowerGroup Sp. z o.o.

    Experis ManpowerGroup Sp. z o.o.
    Experis ManpowerGroup Sp. z o.o. Snowflake, United States

    3 weeks ago

    Default job background
    Description

    Responsibilities and Duties:
    Developing machine learning models for audience segmentation and user profiling, encompassing both research and production-level coding
    Planning, implementing, and maintaining data and machine learning pipelines utilizing MLOps tools. This includes data analysis, exploration, and processing across various data formats
    Leading a team to successfully deliver production-ready machine learning solutions that significantly impact business outcomes
    Contributing to project planning activities
    Keeping abreast of the latest trends and advancements in the field, continuously enhancing knowledge, and implementing relevant findings
    Participating in the creation of innovative technologies through prototyping, proof of concepts, scientific publications, or patent applications
    Providing comprehensive functional and technical documentation
    Engaging with stakeholders to grasp business requirements, manage expectations, and develop effective project roadmaps

    Skills and Qualifications:
    Proficient in Python programming
    Over 5 years of hands-on experience

    applying data science and machine learning techniques to large datasets, including the development and maintenance of ML pipelines
    Demonstrated expertise in deploying Python-based ML pipeline code in production environments, particularly in cloud environments (favoring AWS)
    In-depth understanding of ML algorithms both theoretically and practically, with proficiency in ML libraries such as TensorFlow, PyTorch, or equivalent experience with deployment solutions like AWS tools (e.g., Airflow, EMR, Sagemaker), and PySpark
    Familiarity with SQL and NoSQL databases (e.g., Snowflake)
    Knowledgeable about CI/CD principles, with experience using tools like GitHub and GitHub Actions
    Holds a master's degree in Machine Learning, Computer Science, Mathematics, Physics, or related fields
    Proficient in spoken and written English to facilitate communication in international, cross-team collaborations

    Benefits:
    Private medical coverage with the option to include family members at no extra cost
    Access to a MultiSport card
    Life insurance coverage
    Meal benefits with a lunch card
    Various discounts on products and services (excluding electronic products, theaters, and restaurants)
    Unlimited complimentary access to the Copernicus Science Center for you and your companions
    Opportunity to participate in the testing of new products

    The offer applies to permanent work.
    #J-18808-Ljbffr


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