Machine Learning Engineer, Global Payment Decision Science - USDS
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The role
Design and implement advanced data science and ML solutions for payments, addressing fraud prevention, AML, risk management, and UX optimization.
Translate business challenges into data-driven models and algorithms that fit payment workflows while respecting privacy constraints.
Own the end-to-end model lifecycle—from data prep and feature engineering to deployment, monitoring, and maintenance.
Collaborate with cross-functional teams to deliver measurable business impact and improve labeling, features, and automation.
Apply cutting-edge AI technologies, including deep learning and large language models, to payment data while ensuring privacy and compliance.
Operate in a hybrid work setup with a focus on scalable, robust ML solutions and risk excellence in a fast-paced environment.
Translate business challenges into data-driven models and algorithms that fit payment workflows while respecting privacy constraints.
Own the end-to-end model lifecycle—from data prep and feature engineering to deployment, monitoring, and maintenance.
Collaborate with cross-functional teams to deliver measurable business impact and improve labeling, features, and automation.
Apply cutting-edge AI technologies, including deep learning and large language models, to payment data while ensuring privacy and compliance.
Operate in a hybrid work setup with a focus on scalable, robust ML solutions and risk excellence in a fast-paced environment.
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