PJoin to apply for the strongAI/ML DevOps Engineer /strong role at strongNTT DATA Europe Latam /strong /pp1 day ago Be among the first 25 applicants /ppJoin to apply for the strongAI/ML DevOps Engineer /strong role at strongNTT DATA Europe Latam /strong /ppGet AI-powered advice on this job and more exclusive features. /ppstrongWho We Arebr/strongJoin our global Centre of Excellence as a subject matter expert (SME) for Agentic AI Services, collaborating with teams worldwide to drive innovation and excellence. As part of this central function, you will help shape, implement, and scale cutting-edge Agentic AI solutions across the organization and our clients /ppstrongWho We Arebr/strongJoin our global Centre of Excellence as a subject matter expert (SME) for Agentic AI Services, collaborating with teams worldwide to drive innovation and excellence. As part of this central function, you will help shape, implement, and scale cutting-edge Agentic AI solutions across the organization and our clientsbrThe AI/ML DevOps Engineer is a highly skilled expert responsible for designing, automating, and optimizing robust MLOps and DevOps environments to enable scalable, secure, and high-performing AI/ML platforms and applications. This individual translates complex business and data science requirements into reliable data, model training, and inference workflows; deploys and manages multi-cloud and on-premises AI systems; and implements leading CI/CD, monitoring, and automation practices.brThe role combines deep experience in infrastructure-as-code, pipeline orchestration, cloud deployment, and operationalizing machine learning with mentoring responsibilities for junior and mid-level engineers. The goal: foster a collaborative, innovative, and operationally excellent AI/ML engineering culture.brstrongWhat You'll Be Doingbr/strongulliCollaborate 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). /liliDesign, 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. /liliAutomate 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. /liliIntegrate deployment of Power Platform solutions (Power Virtual Agents, AI Copilots, Power Automate workflows) and ensure governance, monitoring, and seamless scaling for enterprise-grade adoption. /liliSupport 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. /liliContainerize, deploy, and orchestrate solutions—including custom ML services and Power Platform connectors—with Kubernetes (AKS), Docker, and Infrastructure-as-Code (Terraform, Bicep/ARM). /liliEmbed 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. /liliHandle release management, environment provisioning, and runbook preparation for hybrid and multi-cloud scenarios (Azure, AWS, GCP). /liliTroubleshoot complex deployment and operational issues—whether arising from custom code, integrated APIs, or Power Platform components. /liliEnsure comprehensive documentation is created for pipelines, deployment standards, agent lifecycle management, and regulatory compliance. /liliMentor and guide junior DevOps engineers and Power Platform specialists; lead knowledge-sharing and drive a culture of innovation, automation, and operational excellence. /liliStay 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.brbr/li /ulstrongWhat You'll Bring Alongbr/strongulliBachelor’s degree or equivalent in Information Technology, Computer Science, Engineering, or a related field. /liliMinimum 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. /liliExpertise 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. /liliFamiliarity with agent lifecycle management, automated testing and governance for low-code/no-code apps, and scalable Power Platform deployment patterns. /liliCompetence with containerization (Docker), orchestration (Kubernetes/AKS), and multi-cloud deployment (Azure, AWS, GCP). /liliAbility to design, implement, and maintain secure, automated deployment pipelines integrating security, compliance, and monitoring requirements. /liliAdvanced scripting/programming (Python, PowerShell, etc.) and infrastructure-as-code (Terraform, Bicep/ARM). /liliProficient in Agile practices, strong planning, analytical, troubleshooting, and communication skills. /liliAble to mentor, coach, and influence DevOps best practices across traditional and low-code environments. /liliMicrosoft certifications preferred (Microsoft Certified: Azure AI Engineer Associate, Power Platform Solution Architect, DevOps Engineer Expert). /liliDevOps and cloud certifications for Azure, AWS, or GCP preferred. /liliCertification in relevant scripting or programming languages is advantageous. /liliExtensive experience designing and supporting DevOps and MLOps workflows for AI/ML and agentic AI solutions on Azure, with multi-cloud familiarity. /liliHands-on experience with deployment and lifecycle automation for Azure AI Foundry, Copilot Studio, and Power Platform solutions. /liliProven success implementing CI/CD, automated testing, and governance for both code-centric and low/no-code AI applications. /liliDemonstrated ability to work with diverse teams spanning software engineering, data science, and citizen developers. /liliSignificant experience with Agile methodologies (SCRUM, KANBAN) and in managing operational support for production AI/ML systems and AI agents. /liliExcellent command of both spoken and written English.br/li /ul /p /ulh3Seniority level /h3ullih3Seniority level /h3Associate /li /ulh3Employment type /h3ullih3Employment type /h3Full-time /li /ulh3Job function /h3ullih3Job function /h3Engineering and Information Technology /lilih3Industries /h3IT Services and IT Consulting /li /ulpReferrals increase your chances of interviewing at NTT DATA Europe Latam by 2x /ph3Sign in to set job alerts for “DevOps Engineer” roles. /h3pFerrara, Emilia-Romagna, Italy 2 days ago /ph3Senior DevOps Engineer (Remote within Romania) /h3h3Junior RD Test Documentation Engineer /h3h3Embedded Linux Software Developer - FPGA Imaging Pipeline /h3pWe’re unlocking community knowledge in a new way. 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