About this role
Build and maintain data and machine learning infrastructure for Credit Risk systems, including model serving, distributed inference, large-scale data pipelines, and real-time and batch risk decision systems. Collaborate with Data Scientists, Risk Policy, Data Engineering, and Software Engineering teams to productionize models, improve monitoring, data quality, and reliability across ML systems.
Skills for this role
PythonSparkFlinkAirflowMachine LearningModel DeploymentModel ServingDistributed InferenceML WorkflowsData PipelinesETLELTModel MonitoringData QualityFeature DriftObservabilityDistributed SystemsData InfrastructureReal-time Decision SystemsBatch ProcessingWorkflow OrchestrationProduction SupportTroubleshootingFeature Consistency