As an experienced Software Engineer to work on client ML Ops team responsible for managing the Model deployment and other operations activitiProduction Support & Monitoring: Provide ongoing monitoring and support of ML models, pipelines, and services to ensure stability and performance. Deployment & Release Management: Manage CI/CD pipelines for ML model deployment, versioning, and production releases. Production Support & Monitoring: Provide ongoing monitoring and support of ML models, pipelines, and services to ensure stability and performance. Vulnerability Remediation & Management Identify, remediate, and track security vulnerabilities in ML infrastructure and dependencies Data & Model Governance: Maintain model lineage, audit trails, and compliance with data privacy and regulatory standards. Incident & Change Management: Handle production incidents, perform root cause analysis, and manage approved changes to ML systems. Mandatory SkillsML OpsVertex AIAWS SagemakerPythonAirflow
