PCore responsibilities Expand, maintain and optimize an existing On-Prem AI infrastructure in line with user needs and technical requirements Manage local servers, GPU workstations, and network drives Build and maintain Docker environments for AI tools, models and their deployment Resolve compatibility issues between containers, data Storage systems and web interfaces Develop internal RESTful APIs and secure network endpoints Collaborate with IT on Firewall management and secure access to AI systems Provide technical support to integrate open-source tools with local systems Modify internal data sources and create basic data extractions or interface elements Contribute ideas for infrastructure solutions that make AI models efficient and accessible to end users Support model improvement and the extension of AI functionality (if of interest) Required skills Basic knowledge of Python (able to understand, debug and integrate scripts) Experience with containerization (Docker or equivalent tools) Experience with Linux and command-line tools Familiarity with building or using RESTful APIs Understanding of network settings and Firewall restrictions Basic knowledge of configuration formats (JSON, YAML, .env) Assets (nice to have): Ability to work with or integrate SQL-like data sources Knowledge 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 in Computer science / informatics Software engineering Applied computer science Artificial intelligence (with a technical focus) Professional bachelor in Applied computer science Electronics-ICT (with experience in software development or network infrastructure) /p