Deep practical experience with open-source AI frameworks, libraries, and tools Strong background in software engineering principles, design patterns, and best practices Proficiency in Python is essential Exceptional verbal and written communication skills Proven ability to analyze complex technical problems and propose solutions Strong leadership, mentoring, and interpersonal skills Deep technical expertise in at least one core area (e.g., Numerical Computing, Distributed & High-Performance Computing, Infrastructure/Cloud, Data Science/Machine Learning, MLOps, Data Engineering, Generative AI, Agentic AI, LLMs) Sound understanding of several other areas Willingness to travel within the EU and neighboring areas