About this role
Engineering-focused MLOps role to operationalize and scale machine learning systems by building workflows, infrastructure, data and training pipelines, deployment workflows, and monitoring systems. Partner with researchers to productionize models and improve scalability, reliability, observability, and cost-efficiency of ML systems.
Skills for this role
MLOpsMachine LearningML InfrastructureData EngineeringBackend EngineeringData PipelinesTraining PipelinesModel DeploymentModel TrainingModel InferenceModel MonitoringMonitoring SystemsSystem ReliabilityObservabilityReproducibilityData ProcessingAnnotation WorkflowsSoftware EngineeringScalabilityPerformance OptimizationCost OptimizationAutomationProduction MLDebugging