Extensive knowledge about and practical skills applying Machine Learning/AI applications, frameworks (e.g. Python, PyTorch, JAX, etc.), methods and models (e.g. model (pre-)training, fine-tuning, inference pipelines, etc.) * Good knowledge in configuring/working with (virtualized) software environments for machine learning / AI / data analytics research, e.g. containers (Docker etc.) and/or package managers (uv, pip,Conda etc.), as well as CI/CD * Experience in working with/on high performance cluster systems (e.g. using workload/resource manager systems, parallel file systems, parallel model training) or large-scale cloud systems targeting machine learning / AI / data analytics workloads
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