AI Infrastructure Engineer

The world is more connected than ever before and the pace of change is bewildering. We deliver the best combination of technology and services to enable our clients to fulfil the diverse needs of their customers. By fostering a deeply and personal relationship with our clients we want to improve the lives of people and organizations.
Axians is the VINCI Energies brand dedicated to ICT and Digital Transformation. Were present across 38countries with more than 17 000 employees and an annual revenue of more than 3.8billion euros in 2025.
The best of ICT with a human touch.

Why Join Axians European Institutions Team
Multicultural Environment: You will work alongside professionals from all over the world fostering a diverse and enriching workplace.
Diverse Projects:Engage in impactful projects with cutting-edge technological advancements facilitated by European Institutions.
Skill Development: Work in a knowledge-driven environment where youll continually develop both technical and professional skills through exposure to complex projects.
Long-term Opportunities: Our partnerships with European Institutions offer stable long-term roles where you can make a real difference on a European scale.
Contributing to European Initiatives:Make a meaningful impact on regional and global challenges.

We are seeking anAI Infrastructure Engineerto join our team.

Responsibilities:

• Support and maintain AI/ML infrastructure and platforms.
• Deploy and optimize AI workloads on Kubernetes.
• Manage GPU/vGPU environments.
• Monitor platform performance and operational analytics.
• Evaluate and integrate emerging AI technologies.
• Collaborate with engineering and data teams to deliver scalable AI solutions.

Requirements:

• 5 years of experience in AI infrastructure platform engineering or related areas.
• Hands-on experience with AI/ML infrastructure and cloud-native environments.
• Strong knowledge of Kubernetes and containerized workloads.
• Experience with GPU/vGPU technologies.
• Ability to troubleshoot and optimize AI platforms.

Nice to Have:

• PyTorch TensorFlow Scikit-learn.
• LLM tools and GenAI technologies.
• MLOps and Infrastructure-as-Code experience.

Miscellaneous:

• C1/C2 Englishisrequired.