Staff Machine Learning Engineer, Risk Signals & Controls
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Die Stelle
Own the end-to-end data and ML pipeline lifecycle for risk signals and controls within a high-scale fraud detection system.
Design, build, and maintain data pipelines ingesting third-party and internal data to enrich feature stores and models.
Prototype, productionize, and operate ML pipelines and services at scale, focusing on signal quality and noise reduction.
Collaborate with ML modelers and engineers to integrate new data sources, heuristics, and models, and automate validation, monitoring, and alerting.
Develop tooling to maintain features and models, driving efficiencies in fraud detection.
Own solutions from design through operation and contribute to high-quality AI-first practices across the team.
Design, build, and maintain data pipelines ingesting third-party and internal data to enrich feature stores and models.
Prototype, productionize, and operate ML pipelines and services at scale, focusing on signal quality and noise reduction.
Collaborate with ML modelers and engineers to integrate new data sources, heuristics, and models, and automate validation, monitoring, and alerting.
Develop tooling to maintain features and models, driving efficiencies in fraud detection.
Own solutions from design through operation and contribute to high-quality AI-first practices across the team.
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