IT Operations AI Engineer (m/f/d)

Das ist der Job

GitLab AI capabilities) Experience with machine‑learning frameworks such as PyTorch, TensorFlow or Scikit‑learn (training, evaluation, deployment) is an advantage Experience with AI/ML infrastructure platforms, including GPU‑based environments and distributed training, is an advantage Advanced Linux administration and automation scripting (Bash, Python) Bachelor's degree (or equivalent) in a relevant discipline from an accredited university, with at least 5 years of relevant experience Effective written and verbal communication in English Ability to document and maintain technical baselines, operational procedures and architecture diagrams Knowledge of ITIL service management processes (incident, change, problem management) Willingness to participate in the standby / on‑call rotation and, occasionally, in weekend, public‑holiday or late‑night interventions as agreed in advance General Work Skills Problem solving Good analytical skills High degree of interpersonal awareness Experience in working as part of a multicultural team Ability to work autonomously and to perform regular, e.g. weekly, context switch Working Location This is a full‑time position, located either at our customer EUMETSAT in Darmstadt, Germany or delivered off‑site from Germany, Czech Republic or Romania, starting in December 2026 onwards.

Darum lohnt es sich

You will join a dynamic team responsible for operating, maintaining, securing and evolving the MIC infrastructure as it progresses towards hybrid, container-based, automation‑driven and AI‑assisted operations.

We are looking for an AI Engineer to apply AI and advanced analytics to EUMETSAT's infrastructure operations and to enable and evolve the AI/ML infrastructure of the multi-mission computing environment.

Background The Infrastructure and Data Division (I2D), within EUMETSAT's Technical and Scientific Support Department (TSS) operates and evolves the Multi-Mission IT Computing (MIC) environment providing 24x7 Infrastructure-as-a-Service platforms, container management platforms, virtualised environments and software-defined storage for EUMETSAT’s operational ground‑segment infrastructure.

Responsibilities Apply AI and advanced analytics techniques to infrastructure operations (anomaly detection, log analysis, predictive monitoring, operational telemetry analysis) Leverage AI‑assisted and agentic tooling to enhance operational efficiency, scripting, documentation and knowledge stabilisation, with full human validation Deploy and operate AI workloads on Kubernetes and cloud platforms, including containerised AI services and model‑inference services Enable and evolve the AI/ML infrastructure (GPU/vGPU acceleration, AI frameworks, data pipelines) Integrate AI‑assisted capabilities with CI/CD platforms to support infrastructure-as-code development Conduct proof‑of‑concepts, benchmarking and architecture assessments for emerging AI technologies Skills and experiences Familiarity with AI coding assistants and agentic development tools (e.g.

Claude Code, GitHub Copilot, OpenAI Codex or equivalent) Experience applying AI or advanced analytics techniques to infrastructure operations Experience deploying and operating AI workloads on Kubernetes or cloud platforms (containerised AI services, model inference, scalable workloads) Experience leveraging AI‑assisted tools integrated with CI/CD platforms (e.g.

Standby / call‑out support and provision of support to critical operations may sometimes be required. #J-18808-Ljbffr