Machine Learning Engineer, Global Payment Decision Science - USDS
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La posizione
Design and implement advanced data science and machine learning solutions to tackle payment risk, fraud prevention, AML, and user experience optimization.
Translate business problems into data-driven ML features and models, leveraging big data technologies (SQL, Hive, Spark) and state-of-the-art algorithms.
Own the end-to-end model lifecycle—from data labeling and feature engineering to training, evaluation, deployment, and monitoring.
Collaborate with cross-functional stakeholders to deliver measurable business impact while upholding privacy, compliance, risk, and interoperability standards.
Explore and apply cutting-edge AI technologies (DNNs, LLMs) to payment data solutions and continuously improve modeling infrastructure.
Contribute to risk intelligence by advancing model robustness, automation, and generalization in a payment environment.
Translate business problems into data-driven ML features and models, leveraging big data technologies (SQL, Hive, Spark) and state-of-the-art algorithms.
Own the end-to-end model lifecycle—from data labeling and feature engineering to training, evaluation, deployment, and monitoring.
Collaborate with cross-functional stakeholders to deliver measurable business impact while upholding privacy, compliance, risk, and interoperability standards.
Explore and apply cutting-edge AI technologies (DNNs, LLMs) to payment data solutions and continuously improve modeling infrastructure.
Contribute to risk intelligence by advancing model robustness, automation, and generalization in a payment environment.
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