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Support the application of new processes and standards to ensure that the teams are building high quality and safe models. Develop tooling to support the model lifecycle and encourages the use of best practices. Adopts state-of-the-art Gen AI modelling (finetuning) and evaluation techniques. Help develop strategic engineering proof of concepts in the Gen AI space. BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. MSc related to Generative AI would be a plus. Between 0 - 3 years of work experience, internships related to the job content would also be valuable. Exposure to Gen AI in previous projects / internships. Good communication and interpersonal skills, with the ability to collaborate effectively and learning with agility. Programming Language/s certification (Python, and C++ / C# is a plus). Knowledge of machine learning, deep learning, generative AI and statistical modelling. Finetuning or evaluation work pursued in generative AI and machine learning (LLMs, LVMs) development and deployment. Experience leveraging models from repositories such as Hugging Face. Experience with deep learning frameworks such as PyTorch. Optional: Contributions to the AI community (e.g., publications, patents, open-source projects, or participation in conferences and workshops).
