Advising and users of an ever-growing AI service infrastructure in order to foster and to optimize their system usage (e.g. efficiency, multi-GPU and multi-node scalability). Backing a dedicated support team by providing second- and third-level support to these user groups relying on direct contact with technology providers and developers (hardware/software) * PhD in computer or data science, or other areas of scientific computing, with additional two or more years of research-oriented applied AI development (models, systems, workflows, etc.) and, ideally, leadership experience in research/enterprise environments or a Master's degree in the same areas with additional five or more years of comparable experience. * Experience in working with/on high performance cluster systems (e.g. using workload/resource manager systems, parallel file systems, ...
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