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    Machine Learning Engineer Intern - Denver, United States - SSR Mining, Inc.

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    Description
    Why work at MGIC?


    Are you someone who wants to play a critical role in our company's success? Do you enjoy solving puzzles and finding a better way to get things done? Are you someone who likes to Take The Lead and make an impact? If so, then imagine yourself at MGIC.

    At MGIC we are a team of dedicated professionals on a fearless mission.

    A team that fosters a culture of career development and continuous learning opportunities to help you rise to new heights.

    We are passionate about providing outstanding customer service and making a difference in our community. #WeAreMGIC

    How will you make an impact?

    Utilize programming skills to design, develop, and test data pipelines to ingest data for Machine Learning (ML) models to consume and process for generating insights.

    Enhance and maintain existing Modeling Operations platform and data pipelines that are built using AWS Cloud tools.
    Perform troubleshooting of model issues and data pipelines.
    Assure data consistency and reliability in the AWS Cloud data platform.

    Be part of Model Engineering team and closely work with other ML Engineers and Data Scientists and share insights with senior leadership team for making informed decisions and add value to our stakeholders.

    Build ML models and data pipelines and expand our Modeling Operations platform to consume and process both MGIC proprietary data and third-party data.

    The Modeling Operations platform is new to the organization, so the skill sets help identify opportunities for improvements and minimize operational expenses.

    Do you have what it takes?
    Pursuing a bachelor's degree in MIS, Computer Science or related degree.
    Familiar with Data Warehousing and Business Intelligence concepts.
    Basic knowledge in data and development tools/languages such as R, Python, Java, C++.
    Basic knowledge of version control repositories like Git etc.

    You might be a good fit if you like to:
    Collaborative and self-motivated with a desire to learn and adopt new technologies.
    Demonstrated creative thinking, proactive in seeking additional work and strong initiative.

    What you can learn on the job:
    Build and enhance ML models and data pipelines.
    Support existing ML models and data pipelines.
    Practice Model Delivery Life Cycle (MDLC) framework.

    Enjoy these benefits from day one:


    • Competitive Salary & pay-for-performance bonus
    • Financial Benefits (401k with company match, profit sharing, HSA, wellness rewards program)
    • On-site Fitness Center and classes (corporate office)
    • Paid-time off and paid company holidays
    • Business casual dress
    For additional information about MGIC and to apply, please visit our website at
    #J-18808-Ljbffr

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