AI Infrastructure Engineer

Axians Portugal; Darmstadt; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Axians in Darmstadt is seeking an AI Infrastructure Engineer to join our team. You will design, deploy and optimize AI/ML infrastructure, with a focus on cloud-native environments and scalable Kubernetes workloads.

You will collaborate with engineering and data teams to integrate new AI technologies, monitor performance, and troubleshoot platforms. Experience with GPUs/vGPUs and AI tooling like PyTorch and TensorFlow is highly valued.

Qualifikationen

• 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.

Aufgaben

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

Kenntnisse

Kubernetes

AI/ML infrastructure

Cloud-native environments

GPU/vGPU technologies

Troubleshooting

Tools

Docker

Jobbeschreibung

AI Infrastructure Engineer

We are seeking an AI Infrastructure Engineer to join our team.

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 you'll 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.

Responsibilities

• Support and maintain AI/ML infrastructure and platforms.
• Deploy and optimize AI workloads on Kubernetes.
• 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.