AI/ML DevOps Engineer

NTT DATA is seeking an experienced AI/ML DevOps Engineer to join our team in Noida, Chennai, Bengaluru, Pune, or Uttar Pradesh, India. This hands-on role is pivotal in designing, building, and maintaining Infrastructure-as‑Code (IaC) using Terraform to provision and manage Azure AI/ML services for various application teams. The position requires a blend of engineering expertise, including Terraform, CI/CD pipelines (Azure DevOps/GitHub Actions), Azure Kubernetes Service (AKS), and security best practices, alongside coordination skills for Kanban flow, cross-team alignment, and risk management. Your contributions will accelerate safe and repeatable deployments of AI workloads, onboarding application teams to the bank's Azure AI Platform.

Key Responsibilities:

• Develop IaC modules and reusable Terraform templates for provisioning Azure AI/ML resources such as Azure OpenAI/AI Studio, Azure ML, Cognitive Search, Key Vault, Storage, and networking components.
• Automate CI/CD pipelines for plan/apply operations, policy checks, and environment promotion, integrating secrets management, approval workflows, and drift detection.
• Implement access and identity management using Microsoft Entra ID patterns (app registrations, groups, roles, RBAC) for application teams and automation, with a focus on understanding security implications.
• Support AKS-based deployments and platform integrations, including ingress, image management, namespaces, and quotas, for AI services operating on Kubernetes.
• Implement security and governance measures, embedding guardrails through Azure Policy, role assignments, private endpoints, tagging for FinOps, and establishing logging/monitoring baselines.
• Utilize Python or Bash scripting for IaC tooling and deployment assistance.
• Experience in codifying policies and controls using tools like OPA/Conftest and Azure Policy as Code, along with familiarity in cost governance tagging is essential.