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    Junior Data Scientist - United Kingdom - ClearML

    ClearML
    ClearML United Kingdom

    2 weeks ago

    Default job background
    Description
    Junior Data Scientist (Machine Learning AI)Join us to advance data science and machine learning.

    ClearML is a rapidly growing open source MLOps platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale.

    Our frictionless, unified, end-to-end MLOps suite enables users and customers to focus on developing their ML code and automation, ensuring their work is reproducible and scalable.

    ClearML is trusted by brands such as NVIDIA, NetApp, Samsung, Hyundai, Bosch, Microsoft, Intel, IBM, and Philips.


    Overview:
    We are an open source end-to-end MLOPs platform, built by developers for developers. We're looking for a Data Science Intern (Machine Learning AI) to join our growing team.

    In this role, you will collaborate across our development and product teams and will have a chance to collaborate with our MLOPs experts working in the exciting areas of machine learning, deep learning, DevOps, and AI.

    The ideal candidate will be a junior ML/AI Data Scientist who wants to learn how to analyze large amounts of raw information to find patterns and use them to optimize performance.

    You will work with our team to learn to build ML/DL data pipelines to extract valuable business insights, analyze trends, and help us make better decisions.

    We expect you to be highly analytical with a knack for analysis, math, and statistics, and a passion for machine learning and research.

    Critical thinking and problem-solving skills are also required.


    Responsibilities:
    Research and analyze valuable data sources and automate processesPerform preprocessing of structured and unstructured dataReview large amounts of information to discover trends and patternsCreate predictive models and machine-learning algorithmsModify and combine different models through ensemble modelingOrganize and present information using data visualization techniquesDevelop and suggest solutions and strategies to business challengesWork together with engineering and product development teams to build and test ML/DL solutions stretching the entire spectrum of ML operationalization from data processing, model training, hyperparameter tuning, deployment, and model management


    Requirements:
    Entry-level role, remote opportunity Knowledge of SQL and Python; familiarity with Scala, Java, or C++ is a plus. Familiar with Kubernetes and/or perhaps similar container systemStrong math and analytical skills, with business acumenStrong communication and presentation skillsGood problem-solving abilitiesBSc or BA degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
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