AI/ML DevOps Engineer @ NTT DATA Europe & Latam
placeCluj-Napoca, Cluj, Romania
attach_money $130,000
businessOn Site
scheduleFull Time
Posted 17 hours ago
Your Application Journey
Interview
Email Hiring Manager
******* @nttdata.com
Recommended after applying
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
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
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Review Azure DevOps and pipelines.
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Practice scripting in Python and PowerShell.
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Study container orchestration concepts.
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Refresh infrastructure-as-code tools.
Behavioral Questions
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Describe collaboration with cross-functional teams.
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Explain problem-solving during system outages.
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Discuss mentoring junior engineers.
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Share an example of innovative automation.
Frequently Asked Questions
What technical skills are essential for the AI/ML DevOps Engineer at NTT DATA Europe & Latam?
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How is multi-cloud deployment handled in the AI/ML DevOps Engineer role?
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What certifications strengthen an application for this AI/ML DevOps Engineer role at NTT DATA Europe & Latam?
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