ML Ops Architect

Required Skills & Experience:10+ years of IT experience with 3+ years in ML Ops or ML Engineering roles.Strong hands-on experience with:Azure DevOps (Azure Repos, Pipelines)AWS ML stack: SageMaker, Glue, Lambda, Step Functions, SNS, S3, AthenaTerraform for IaCCloudWatch, EvidentlyAI for monitoringDocker, ECR for image managementDeep understanding of ML model lifecycle management and CI/CD practices.Proven ability to define enterprise-scale ML Ops frameworks and governance models.Prior experience in working with ServiceNow for operational support workflows.Strong communication and stakeholder management skills.