AI DevOps Engineer

Quick Facts

• Role: AI DevOps Engineer

• Focus: AI/ML solutions, DevOps, CI/CD, and cloud operations (especially Microsoft Azure)

Description

You will design, develop, integrate, and deploy AI/ML solutions and automate business and operational processes. The role involves integrating AI models and services into existing IT systems and building/maintaining CI/CD pipelines for AI workloads. You will collaborate with IT, DevOps, and business teams to ensure scalability, security, and regulatory compliance.

Responsibilities

• Design and implement AI/ML solutions supporting business processes
• Identify processes that can be automated or optimized using AI
• Integrate AI models and services with existing IT systems and business applications
• Build and maintain CI/CD pipelines for AI solutions
• Deploy and manage solutions in cloud environments, especially Microsoft Azure
• Automate deployment and operational processes with DevOps teams
• Configure, monitor, and optimize environments running AI solutions
• Ensure security, data protection, and compliance (including GDPR and AI Act)
• Optimize performance and costs of AI solutions and infrastructure
• Document and standardize technical processes and solutions
• Translate business needs into concrete technical solutions

Requirements

• Minimum 5 years of IT experience (software development, DevOps, cloud, or related)
• Practical knowledge of DevOps and CI/CD
• Hands-on cloud experience, preferably Microsoft Azure
• Experience with containerization and orchestration, especially Kubernetes or OpenShift
• Hands-on experience building, integrating, or deploying AI/ML solutions or automating processes
• Ability to work at the business–technology interface
• Knowledge of IT security and data processing in regulated environments
• Ability to analyze processes and identify automation opportunities
• Independence, proactivity, and practical troubleshooting

Benefits

• Hybrid work model; Start ASAP
• Projects combining AI, Cloud, DevOps, and business process automation
• Work with IT, DevOps, and business teams
• Opportunity to influence how AI solutions are designed and deployed
• Projects with high requirements for security, scalability, and regulatory compliance
• Development opportunities in AI/ML, MLOps, Azure, Kubernetes/OpenShift, and automation