2 beste Stellen als cloud engineer in hessen – aktuell auf Personalsuche

AI Infrastructure Engineer
AXIANS EI —Darmstadt
- Hybrides Arbeiten
- Master
- Künstliche Intelligenz
- Python
Direkt bewerben
11 Std.
Senior Cloud Computing Engineer
Telespazio Germany GmbH —Darmstadt
- Vollzeit
- Hybrides Arbeiten
- Azure
- Informatik
- AWS
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AI Infrastructure Engineer

AXIANS EI
Darmstadt

Direkt bewerben

Details zur Stelle

vor 11 Stunden

Qualifikationen

TensorFlow
Kubernetes
Master
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

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. We’re present across 38 countries, with more than 17 000 employees and an annual revenue of more than 3.8 billion 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 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.

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

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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 English is required.
If you're interested, please send your application to [email protected] with the subject AI.ER

Direkt bewerben

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AI Infrastructure Engineer

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