<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>Skills that we currently require:</p><p><br/></p><p>- Productive AI use cases (beyond PoC)</p><p>- Translation of business problems into AI workloads</p><p>- Data landscapes in industrial &amp; OT environments</p><p>- Integration of AI into existing ERP/MES/PLM systems</p><p>- Profitability analysis of AI initiatives</p><p>- EU AI Act (risk classes, roles: provider, deployer, GPAI, high-risk)</p><p>- AI governance frameworks and risk management approaches</p><p>- Documentation, audit and verification obligations for AI systems</p><p>- Data governance, data provenance and training data control</p><p>- Liability and accountability models in AI ecosystems</p><p>- Cloud, HPC and AI platform architectures</p><p>- GPU-based training and inference environments</p><p>- Compute, storage and network sizing for AI</p><p>- Operating models for regulated/sovereign cloud environments</p><p>- Understanding of NVIDIA AI stacks (e.g. AI Enterprise, Omniverse - conceptual)</p><p></p> </div>