Senior Machine Learning Engineer, Global Payment Decision Science - USDS
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El puesto
Understand the payments domain and translate business problems into data science and algorithm solutions.
Design and deploy ML models for fraud prevention, AML, risk assessment, and user experience optimization.
Own end-to-end model lifecycle and collaborate with stakeholders to deliver measurable business impact.
Improve data infrastructure, feature engineering, labeling, and model robustness for automation and generalization.
Advance privacy, compliance, interoperability, and risk visibility in ML solutions.
Explore and apply advanced AI technologies (DNN/LLM) to payment data problems and meet qualification requirements (BS in CS/Math/Stats; SQL/Hive/Spark; Python/Java/Scala).
Design and deploy ML models for fraud prevention, AML, risk assessment, and user experience optimization.
Own end-to-end model lifecycle and collaborate with stakeholders to deliver measurable business impact.
Improve data infrastructure, feature engineering, labeling, and model robustness for automation and generalization.
Advance privacy, compliance, interoperability, and risk visibility in ML solutions.
Explore and apply advanced AI technologies (DNN/LLM) to payment data problems and meet qualification requirements (BS in CS/Math/Stats; SQL/Hive/Spark; Python/Java/Scala).
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