About this role
Designs, builds, and maintains AI/ML lifecycle core services and products including infrastructure for training, validating, deploying, and serving machine learning models. Implements automated ML pipelines, MLOps practices, model monitoring, explainability tools, version control, and provides technical guidance to data scientists.
Skills for this role
Machine LearningMLOpsModel ServingModel MonitoringAutomated ML PipelinesCI/CD for ModelsModel ExplainabilityModel InterpretabilityPerformance OptimizationInfrastructure for Model TrainingModel Version ControlDataset Version ControlTesting Frameworks for MLData Pipeline CollaborationOrchestration CapabilitiesTroubleshooting of AI/ML SystemsMicrosoft OfficeSECRET Security ClearanceCommunicationEnglish (Professional proficiency)