AI/ML DevOps Engineer at NTT DATA

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Terraform, Azure, AI/ML, Pipelines, Security, Kanban, Cross-Team Alignment, Risk Tracking, Azure DevOps, GitHub Actions, Microsoft Entra ID, Kubernetes, Python, Bash, Azure Policy, Cost Governance

Industry

IT Services and IT Consulting

Description

Req ID: 354064 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a AI/ML DevOps Engineer to join our team in Noida, Chennai, Bengaluru, Pune, Uttar Pradesh (IN-UP), India (IN). Job Duties: 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). * 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. (Explicit request to “understand security around Entra IDs.”) * 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. Minimum Skills Required: 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). About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us. NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Responsibilities

The AI/ML DevOps Engineer will design, build, and maintain Infrastructure-as-Code (IaC) templates with Terraform for Azure AI/ML services. The role involves engineering and coordination to ensure safe and repeatable deployments of AI workloads.