Senior Machine Learning Engineer, Global Payment Decision Science - USDS
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Die Stelle
Design and implement advanced data science and ML solutions to solve high-impact payment domain problems.
Translate business challenges into robust predictive models for fraud prevention, AML, risk assessment, and user experience optimization.
Own the end-to-end model lifecycle—from data processing and feature engineering to evaluation, deployment, and monitoring.
Collaborate with cross-functional partners to deliver measurable business impact and improve infrastructure for scalability and automation.
Enhance privacy, compliance, interoperability, and risk perception in ML solutions to meet regulatory and security standards.
Apply big data tools (SQL/Hive/Spark) and programming languages (Python/Java/Scala) to operationalize models in production.
Translate business challenges into robust predictive models for fraud prevention, AML, risk assessment, and user experience optimization.
Own the end-to-end model lifecycle—from data processing and feature engineering to evaluation, deployment, and monitoring.
Collaborate with cross-functional partners to deliver measurable business impact and improve infrastructure for scalability and automation.
Enhance privacy, compliance, interoperability, and risk perception in ML solutions to meet regulatory and security standards.
Apply big data tools (SQL/Hive/Spark) and programming languages (Python/Java/Scala) to operationalize models in production.
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