Senior Machine Learning Engineer, Global Payment Decision Science - USDS
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El puesto
Translate payment business problems into data science and ML solutions where applicable.
Design and deploy end-to-end ML solutions for risk management, fraud prevention, AML, and user experience optimization.
Own the full model lifecycle from problem framing to deployment and monitoring, delivering measurable business impact.
Improve modeling infrastructure, labels, features, and algorithms for robustness, automation, and generalization with privacy and compliance in mind.
Collaborate with cross-functional teams to translate requirements into scalable ML solutions.
Requirements: 3+ years in applied ML for risk/trust & safety; degree in CS/Stats/Math; SQL/Hive/Spark; Python/Java/Scala; pref: ML/DL, LLMs, fintech/payments experience.
Design and deploy end-to-end ML solutions for risk management, fraud prevention, AML, and user experience optimization.
Own the full model lifecycle from problem framing to deployment and monitoring, delivering measurable business impact.
Improve modeling infrastructure, labels, features, and algorithms for robustness, automation, and generalization with privacy and compliance in mind.
Collaborate with cross-functional teams to translate requirements into scalable ML solutions.
Requirements: 3+ years in applied ML for risk/trust & safety; degree in CS/Stats/Math; SQL/Hive/Spark; Python/Java/Scala; pref: ML/DL, LLMs, fintech/payments experience.
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