Aufgaben
Profil
- 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
Profil
- 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. 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
Job ID 887159/1-en
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