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    Machine Learning Engineer - Atlanta, United States - TheTalentos, LLC

    TheTalentos, LLC
    TheTalentos, LLC Atlanta, United States

    1 week ago

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    Description

    About the job Machine Learning Engineer

    We are supporting a client in the Risk and Insurance industry in the search for a driven Machine Learning Engineer to help us bring software development rigor to the ML life-cycle within the business insurance industry. As an experienced innovator partnering with the marketing and growth teams, this is a massive opportunity to drive high growth impact at a hyper-growth startup. Your job is to be a full-stack ML engineer, supercharging all aspects of scaling Machine Learning at NEXT: application design and architecture, scalable deployment of inference solutions as APIs, data enrichment as a service, and model monitoring.

    You will be joining an innovative division of based in Atlanta: Data Labs. The mandate of Data Labs is to build software and data solutions that meaningfully impact marketing, funnel, risk, and servicing/claims experiences.

    What You'll Do:

    • Empower our team of data scientists to rapidly develop and deploy ML solutions.
    • Leverage software engineering best practices to create and deploy data-intensive and machine learning inference products.
    • Understand the data and dig deep to extract actionable insights.
    • Think creatively and outside the box to answer desired experimental questions as well as expose opportunities to create business value.
    • Work cross-functionally with marketing, engineering, product, senior management, and external partners.
    What We Need:
    • 3+ years of hands-on experience in the complete software development life-cycle with demonstrated professional experience with machine learning
    • Strong command of Python and the standard web development frameworks (e.g. Django, Flask, FastAPI) & fluency with database technologies, SQL, and Python data packages
    • Demonstrated experience deploying models and applications to a cloud environment using tools like Docker and Kubernetes.
    • Demonstrated experience with software engineering best practices, such as Test-Driven Development and continuous integration/deployment pipeline
    • Experience with ML-oriented data pipelining tools (dbt, Airflow, Prefect, DVC, etc.)
    Unstoppable Qualities:
    • Experience in the insurance industry (strong fintech/lending experience will also be considered)
    • Experience with GitLab
    Relocation assistance: Limited assistance
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