DevOps Engineer - AI

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Description

Role Overview As a DevOps Engineer - AI Platform & MLOps, you will be responsible for designing, implementing, and managing the cloud infrastructure, CI/CD pipelines, deployment automation, and operational excellence practices that support AI and machine learning solutions. You will work closely with AI Engineers, Data Scientists, Solution Architects, and Platform Engineers to ensure AI services are secure, scalable, reliable, and production-ready. Key Responsibilities AI Platform Engineering Design, build, and maintain cloud-native infrastructure supporting AI workloads. Manage AI platform environments across development, test, UAT, and production. Implement Infrastructure as Code (IaC) using tools such as Terraform and Bicep. Optimize infrastructure performance, costs, resilience, and availability. MLOps & Deployment Automation Build and maintain CI/CD pipelines for AI and machine learning solutions. Automate model deployment, validation, testing, and rollback processes. Support model lifecycle management, versioning, monitoring, and governance. Enable automated retraining and deployment workflows where required. Cloud & Security Implement security best practices across AI environments. Manage identities, secrets, certificates, and access controls. Ensure compliance with organizational security and governance standards. Conduct vulnerability remediation and platform hardening activities. Platform Reliability & Operations Establish monitoring, alerting, logging, and observab

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