About this role
Build and operate production ML systems and pipelines for fraud detection at scale, collaborating with data scientists to productionalize models and continuously improve performance, latency, reliability, and monitoring in customer-facing, real-time applications.
Skills for this role
Machine LearningML model developmentML model deploymentProduction ML systemsModel evaluationModel monitoringReal-time ML infrastructureLow-latency systemsData pipelinesInferencePythonRJavaTensorFlowPyTorchscikit-learnCloud platformsScalable computingStatisticsOptimizationProbability theoryExperimental methodologiesFraud detectionRisk modelingIdentity fraudBehavioral fraudTransaction fraudAPIsBackend servicesDistributed systems