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The goal is to standardize how AI models are deployed, monitored, and governed in a secure and compliant way.\nDesign and maintain CI/CD and MLOps pipelines for AI/ML solutions.\nDeploy and operate AI workloads on Azure Machine Learning, Azure OpenAI, AKS, Azure Functions, and Azure DevOps.\nAutomate infrastructure using Terraform, Bicep, or ARM templates.\nImplement secure deployment practices: RBAC, Key Vault, managed identities, private endpoints, network isolation.\nSet up monitoring, logging, alerting, and operational support for AI services and model endpoints.\nSupport model versioning, release management, rollback, and production governance.\nWork closely with data scientists, AI engineers, cloud architects, security, and banking IT teams.\nEnsure solutions meet banking standards for security, auditability, resilience, and compliance.\n7+ years of DevOps, Cloud Engineering, Platform Engineering, or related experience.\nStrong experience with Azure DevOps, CI/CD pipelines, Git, 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