AI/ML DevOps Engineer
@ NTT DATA Europe & Latam

Cluj-Napoca, Cluj, Romania
$130,000
On Site
Full Time
Posted 22 days ago

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XXXXXXXXXX XXXXXXXXXXX XXXXXXXX******* @nttdata.com
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Job Details

Who We Are

Join our global Centre of Excellence as a subject matter expert for Agentic AI Services. Collaborate with teams worldwide to drive innovation and excellence and help shape, implement, and scale cutting-edge Agentic AI solutions for the organization and its clients.

Role Overview

The AI/ML DevOps Engineer is responsible for designing, automating, and optimizing robust MLOps and DevOps environments. You will translate business and data science requirements into reliable workflows, deploy and manage multi-cloud and on-premises AI systems, and implement CI/CD, monitoring, and automation practices.

Key Responsibilities

  • Collaborate with data scientists, solution architects, and platform specialists to translate business needs into technical architectures.
  • Design, build, and maintain CI/CD and MLOps pipelines covering the entire AI/ML lifecycle.
  • Automate validation, deployment, and management of AI agents ensuring versioning, testing, rollback, privacy, and security.
  • Integrate and deploy Power Platform solutions with proper governance and monitoring.
  • Support advanced data and model pipelines using Azure Machine Learning and other tools.
  • Containerize and orchestrate solutions with Kubernetes, Docker, and Infrastructure-as-Code.
  • Embed automated testing, governance policies, and security controls across all processes.
  • Handle release management, environment provisioning, runbook preparation for multi-cloud scenarios.
  • Mentor junior and mid-level engineers while driving a culture of innovation and operational excellence.

Qualifications

  • Bachelor’s degree or equivalent in IT, Computer Science, Engineering, or related field.
  • Minimum 5 years experience in designing and supporting DevOps and MLOps workflows.
  • Expertise with Azure DevOps, GitHub Actions, ARM/Bicep templates, and Azure AI Foundry.
  • Strong experience with containerization (Docker), orchestration (Kubernetes/AKS), and multi-cloud deployment.
  • Advanced scripting skills (Python, PowerShell) and infrastructure-as-code expertise.
  • Proficiency in Agile methodologies and excellent communication skills in English.
  • Relevant Microsoft, DevOps, and cloud certifications are preferred.

Key skills/competency

  • AI
  • ML
  • DevOps
  • MLOps
  • Azure
  • CI/CD
  • Automation
  • Containerization
  • Infrastructure
  • Security
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How to Get Hired at NTT DATA Europe & Latam

🎯 Tips for Getting Hired

  • Customize Your Resume: Highlight relevant DevOps and AI experience.
  • Research NTT DATA Europe & Latam: Understand their global innovation culture.
  • Showcase Certification: Emphasize Azure and cloud credentials.
  • Prepare for Technical Interviews: Review CI/CD, containerization, and scripting challenges.

📝 Interview Preparation Advice

Technical Preparation

Review Azure DevOps and pipelines.
Practice scripting in Python and PowerShell.
Study container orchestration concepts.
Refresh infrastructure-as-code tools.

Behavioral Questions

Describe collaboration with cross-functional teams.
Explain problem-solving during system outages.
Discuss mentoring junior engineers.
Share an example of innovative automation.

Frequently Asked Questions