IT Operations AI Engineer (m/f/d) Ref. No. 26-82195

Stellenbeschreibung:

Overview

In this role you apply AI and advanced analytics to support and evolve the MIC infrastructure at EUMETSAT, enabling AI-driven operations and automation. You will deploy AI workloads on Kubernetes and cloud platforms, work on AI-enabled infrastructure, and contribute to architecture assessments and proof-of-concepts. You join a cross-functional, mission-driven team delivering 24x7 infrastructure services and modernising with container-based, AI-assisted operations. Your work shapes how AI and automation drive operational efficiency and reliability in a hybrid environment.

Leistungen / Benefits
  • Training and personal development
  • International and cosmopolitan working atmosphere
  • Challenging tasks in advanced technical environment
  • Competitive salary
  • On-site/off-site work options
  • Extra-legal benefits
Verantwortungsbereiche
  • Apply AI and analytics techniques to infrastructure operations (anomaly detection, log analysis, predictive monitoring)
  • Deploy and operate AI workloads on Kubernetes and cloud platforms
  • Enable and evolve AI/ML infrastructure (GPU/vGPU, AI frameworks, data pipelines)
  • Integrate AI capabilities with CI/CD for infrastructure-as-code
  • Conduct proof-of-concepts, benchmarking and architecture assessments for new AI technologies
  • Support AI-assisted tooling to improve scripting, documentation and knowledge stability
  • Participate in standby/on-call rotations and on-site/remote support as needed
Zentrale Anforderungen
  • Experience applying AI or advanced analytics to infrastructure operations
  • Experience deploying AI workloads on Kubernetes or cloud platforms
  • Experience with AI/ML frameworks (training, evaluation, deployment) is advantageous
  • Advanced Linux administration and automation scripting (Bash, Python)
  • Bachelor's degree in a relevant discipline with 5+ years of experience
  • Good written and verbal English communication
  • Knowledge of ITIL service management processes (incident, change, problem)
  • Willingness to participate in on-call and off-hours as agreed
  • Problem solving
  • Analytical thinking
  • Interpersonal awareness
  • GitHub Copilot, Claude Code, OpenAI Codex or equivalent
  • GitLab AI capabilities
  • PyTorch, TensorFlow, Scikit-learn
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Stelleninformationen

  • Veröffentlichungsdatum:

    14 Sep 2026
  • Standort:

    Darmstadt
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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