Machine Learning Engineer, Global Payment Decision Science - USDS
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El puesto
Design and deploy advanced data science and ML solutions for payment risk and user experience optimization.
Translate business problems into data-driven models for fraud prevention, AML, and campaign optimization.
Own end-to-end model lifecycle—from data labeling and feature engineering to production monitoring and iteration.
Improve modeling infrastructure, labels, features, and algorithms for robustness, automation, and generalization.
Collaborate with cross-functional teams to ensure privacy, compliance, and interoperability across platforms.
Apply cutting-edge ML and DL techniques, explore LLM applications, and drive measurable business impact.
Translate business problems into data-driven models for fraud prevention, AML, and campaign optimization.
Own end-to-end model lifecycle—from data labeling and feature engineering to production monitoring and iteration.
Improve modeling infrastructure, labels, features, and algorithms for robustness, automation, and generalization.
Collaborate with cross-functional teams to ensure privacy, compliance, and interoperability across platforms.
Apply cutting-edge ML and DL techniques, explore LLM applications, and drive measurable business impact.
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