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AI/ML DevOps Engineer

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NTT DATA

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Location:
India , Noida ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The AI/ML DevOps Engineer will be responsible for designing and maintaining Infrastructure-as-Code templates using Terraform for Azure AI/ML services. This role requires a blend of engineering and coordination skills to ensure safe deployments of AI workloads. Candidates should have experience with Azure services, automation tools, and security practices.

Job Responsibility:

  • Hands-on engineer responsible for designing, building, and maintaining Infrastructure-as‑Code (IaC) templates with Terraform to provision and operate Azure AI/ML services for multiple application teams
  • The role blends engineering (Terraform, pipelines, AKS, security) with coordination (Kanban flow, cross-team alignment, risk/issue tracking) to accelerate safe, repeatable deployments of AI workloads for onboarding application teams to the bank's AI Platform (Azure)

Requirements:

  • Engineer IaC modules and reusable templates (Terraform) to provision Azure resources for AI/ML (e.g., Azure OpenAI/AI Studio, Azure ML, Cognitive Search, Key Vault, Storage, networking)
  • Automate pipelines (Azure DevOps/GitHub Actions) for plan/apply, policy checks, and environment promotion
  • integrate secrets, approvals, and drift detection
  • Stand up access & identity using Microsoft Entra ID patterns (app registrations, groups/roles, RBAC) for app teams and automation
  • Support AKS-based deployments and platform integrations (ingress, images, namespaces, quotas) for AI services that land on Kubernetes
  • Harden & govern: embed guardrails (Azure Policy, role assignments, private endpoints), tagging/FinOps, logging/monitoring baselines
  • Scripting with Python or Bash for IaC tooling and deployment helpers
  • Experience codifying policies/controls (OPA/Conftest, Azure Policy as Code) and cost governance tags

Additional Information:

Job Posted:
January 24, 2026

Work Type:
Hybrid work
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