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Q2

Real-Time Fraud ML Engineer (Hybrid)

charlotte, NC

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Job description

Q2, a leading provider of digital banking and lending solutions, is seeking a Machine Learning Engineer to build production fraud-detection systems at scale. You will collaborate with data scientists to turn models into reliable real-time applications.

This role offers hands-on exposure across model development, evaluation, deployment, and monitoring, with opportunities to impact fraud losses for financial institutions and their customers.

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Worksite address

charlotte, NC, 28245, US

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