AI/ML DevOps Engineer

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August 6

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NTT DATA Romania

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Technology • Cybersecurity • Consulting

NTT DATA Romania is a technology and consulting company that provides a wide range of services including business analytics, agile transformation, cloud computing, cybersecurity, data consultancy, and IT service management. They are dedicated to helping organizations optimize their operations and navigate digital transformation through innovative technological solutions.

1001 - 5000 employees

🔒 Cybersecurity

📋 Description

• Collaborate with data scientists, solution architects, and platform specialists to translate business needs into technical architectures— incorporating both conventional ML workloads and agentic AI built with Azure AI Foundry, Copilot Studio, and Power Platform (Power Automate, Power Apps). • Design, build, and maintain CI/CD and MLOps pipelines that cover the full AI/ML lifecycle—data, model, code, and agent deployment—leveraging Azure DevOps, GitHub Actions, and orchestration tools for both cloud-native code and low-code agents. • Automate the validation, deployment, and management of AI agents and copilots, ensuring best practices for versioning, testing, rollback, privacy, and security are applied across Azure AI Foundry and Power Platform. • Integrate deployment of Power Platform solutions (Power Virtual Agents, AI Copilots, Power Automate workflows) and ensure governance, monitoring, and seamless scaling for enterprise-grade adoption. • Support advanced data and model pipelines: from ingestion and feature engineering to deployment and on-going monitoring using Azure Machine Learning, Azure Synapse, Data Factory, and other relevant tools. • Containerize, deploy, and orchestrate solutions—including custom ML services and Power Platform connectors—with Kubernetes (AKS), Docker, and Infrastructure-as-Code (Terraform, Bicep/ARM). • Embed automated testing, governance policies (via Azure Policy and Microsoft Purview), and security controls (integrating with Microsoft Defender for Cloud, Azure Key Vault, etc.) into all DevOps processes, including those for low-code agents. • Handle release management, environment provisioning, and runbook preparation for hybrid and multi-cloud scenarios (Azure, AWS, GCP). • Troubleshoot complex deployment and operational issues—whether arising from custom code, integrated APIs, or Power Platform components. • Ensure comprehensive documentation is created for pipelines, deployment standards, agent lifecycle management, and regulatory compliance. • Mentor and guide junior DevOps engineers and Power Platform specialists; lead knowledge-sharing and drive a culture of innovation, automation, and operational excellence. • Stay current on Microsoft agentic AI advances (Foundry, Copilot/Power Virtual Agents) and related DevOps/MLOps patterns, continuously improving toolchains, and championing adoption of new features.

🎯 Requirements

• Bachelor’s degree or equivalent in Information Technology, Computer Science, Engineering, or a related field. • Minimum 3-5 years of experience with Azure AI Foundry, Copilot Studio, Power Platform (Power Automate) and their integration into enterprise automation and conversational AI solutions. • Expertise in DevOps/MLOps for AI agents and ML models deployed on Azure, including advanced use of Azure DevOps, Azure Pipelines, GitHub Actions, and ARM/Bicep templates. • Familiarity with agent lifecycle management, automated testing and governance for low-code/no-code apps, and scalable Power Platform deployment patterns. • Competence with containerization (Docker), orchestration (Kubernetes/AKS), and multi-cloud deployment (Azure, AWS, GCP). • Ability to design, implement, and maintain secure, automated deployment pipelines integrating security, compliance, and monitoring requirements. • Advanced scripting/programming (Python, PowerShell, etc.) and infrastructure-as-code (Terraform, Bicep/ARM). • Proficient in Agile practices, strong planning, analytical, troubleshooting, and communication skills. • Able to mentor, coach, and influence DevOps best practices across traditional and low-code environments. • Microsoft certifications preferred (Microsoft Certified: Azure AI Engineer Associate, Power Platform Solution Architect, DevOps Engineer Expert). • DevOps and cloud certifications for Azure, AWS, or GCP preferred. • Certification in relevant scripting or programming languages is advantageous. • Extensive experience designing and supporting DevOps and MLOps workflows for AI/ML and agentic AI solutions on Azure, with multi-cloud familiarity. • Hands-on experience with deployment and lifecycle automation for Azure AI Foundry, Copilot Studio, and Power Platform solutions. • Proven success implementing CI/CD, automated testing, and governance for both code-centric and low/no-code AI applications. • Demonstrated ability to work with diverse teams spanning software engineering, data science, and citizen developers. • Significant experience with Agile methodologies (SCRUM, KANBAN) and in managing operational support for production AI/ML systems and AI agents. • Excellent command of both spoken and written English.

🏖️ Benefits

• New beginnings can be a challenge. We promise a smooth integration and a supportive mentor • Pick your working style: choose from Remote, Hybrid or Office work opportunities • Early bird or night owl? Our projects have different working hours to suit your needs • Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms • We want you to stay healthy! Enjoy our Private Health Insurance ⁠– it’s custom-made for you • A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School • Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families