Deep practical experience with a wide range of open-source AI frameworks, libraries, and tools with an emphasis on AI/ML. 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 and sound understanding of several other areas: Numerical Computing, Distributed & High-Performance Computing, Infrastructure/Cloud, Data Science/Machine Learning, MLOps, Data Engineering, Generative AI, Agentic AI, LLMs etc.