About this role
Design, build, and maintain scalable MLOps pipelines and data infrastructure to support machine learning model development, deployment, monitoring, and lifecycle management. Collaborate with data scientists and engineering teams, implement CI/CD and infrastructure-as-code, and monitor models and pipelines to optimise performance and reliability.
Skills for this role
MLOpsMachine LearningData EngineeringData PipelinesModel DeploymentModel MonitoringModel VersioningModel Lifecycle ManagementCI/CDInfrastructure as CodePythonSQLCloud-native data servicesCloud-native ML servicesWorkflow AutomationEnterprise Data Platform ArchitectureData ScienceAnalyticsCollaborationCommunicationProblem Solving