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Machine Learning Engineer
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
À propos
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 #J-18808-Ljbffr
Compétences linguistiques
- English
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