Role SummaryWe are seeking a highly skilled MLOps Engineer to focus on the deployment, monitoring, and maintenance of machine learning models in production environments. This role is platform-focused and does not involve model development or end-user support. The successful candidate will ensure reliability, scalability, and performance of ML platforms while managing API endpoints and deployment workflows.Key Responsibilities Platform Operations and MonitoringMonitor ML model endpoints and platform health using tools such as Grafana and Domino Data LabRespond to incidents and alerts; perform code fixes and manage changes via ServiceNowLiaise with Domino Data Lab support to resolve platform-related issuesModel DeploymentDeploy and maintain ML models in production environmentsEnsure models integrate seamlessly into automated pipelinesMaintain reliability, version control, and governance standardsPipeline MaintenanceCollaborate with Data Scientists and Engineers for smooth production handoffMaintain and optimize ML pipelines for stability and scalabilityImprove performance, resource usage, and automationAutomation and ToolingImplement automation for deployment and monitoringContribute to continuous platform improvementsRequired Skills and ExperienceStrong Python programming experienceProven experience deploying and monitoring ML models in productionUnderstanding of model evaluation metrics, data drift, overfitting, and feature importanceExperience with AWS services (S3, ..... full job details .....