Core responsibilitiesExpand, maintain and optimize an existing On-Prem AI infrastructure in line with user needs and technical requirementsManage local servers, GPU workstations, and network drivesBuild and maintain Docker environments for AI tools, models and their deploymentResolve compatibility issues between containers, data Storage systems and web interfacesDevelop internal RESTful APIs and secure network endpointsCollaborate with IT on Firewall management and secure access to AI systemsProvide technical support to integrate open-source tools with local systemsModify internal data sources and create basic data extractions or interface elementsContribute ideas for infrastructure solutions that make AI models efficient and accessible to end usersSupport model improvement and the extension of AI functionality (if of interest)Required skillsBasic knowledge of Python (able to understand, debug and integrate scripts)Experience with containerization (Docker or equivalent tools)Experience with Linux and command-line toolsFamiliarity with building or using RESTful APIsUnderstanding of network settings and Firewall restrictionsBasic knowledge of configuration formats (JSON, YAML, .Env)Assets (nice to have):Ability to work with or integrate SQL-like data sourcesKnowledge of GPU configuration (CUDA, drivers, resource management)Experience with simple web interfaces: front-end adjustments (HTML/CSS/JS) or back-end tools (e.G. Flask, Streamlit)Experience with CI/CD workflows (automated testing/deployment)Relevant degrees:Master of science inComputer science / informaticsSoftware engineeringApplied computer scienceArtificial intelligence (with a technical focus)Professional bachelor inApplied computer scienceElectronics-ICT (with experience in software development or network infrastructure)