Machine Learning Engineer, Global Payment Decision Science - USDS
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Die Stelle
Design and implement advanced data science and machine learning solutions to solve high-impact payment problems such as fraud detection, AML, risk assessment, and user experience optimization.
Translate business needs into predictive models, robust features, labels, and evaluation metrics, owning the end-to-end model lifecycle from conception to deployment.
Apply cutting-edge ML and DL techniques, including large language models, to improve detection, automation, and decision quality across payment workflows.
Collaborate with cross-functional teams and stakeholders to deliver measurable business impact while ensuring privacy, security, and regulatory compliance.
Improve data processing, labeling, feature engineering, and experimentation to boost robustness, generalization, and operating efficiency.
Build scalable ML systems in a big data environment, driving automation and maintainability while balancing performance and risk considerations.
Translate business needs into predictive models, robust features, labels, and evaluation metrics, owning the end-to-end model lifecycle from conception to deployment.
Apply cutting-edge ML and DL techniques, including large language models, to improve detection, automation, and decision quality across payment workflows.
Collaborate with cross-functional teams and stakeholders to deliver measurable business impact while ensuring privacy, security, and regulatory compliance.
Improve data processing, labeling, feature engineering, and experimentation to boost robustness, generalization, and operating efficiency.
Build scalable ML systems in a big data environment, driving automation and maintainability while balancing performance and risk considerations.
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