A good Bachelors degree (2.1 or above or international equivalent) and/or Masters degree in a relevant subject (physics, mathematics, engineering, computer science, or related subject)
Proficiency in English (both oral and written)
Strong foundation in natural language processing and deep learning, with a particular emphasis on large language models, transformer architectures, and their training methodologies
Proficiency in Python and PyTorch, with experience in developing and training deep learning models, and familiarity with distributed computing environments
Hardware knowledge of current accelerators (e.g. GPUs) is highly desirable
