Duties & ResponsibilitiesDevelop and fine-tune Large Language Models and their related technologies (e.g. data pipeline and evaluation framework) for underrepresented languagesPerform literature review of AI and LLM papers and apply the principles to build AI productsConduct innovative research on LLM evaluation and alignmentBe involved in the end-to-end model building effort, from data preparation, model training to API deploymentReproduce, test and enhance algorithms from research papersPartner with external parties, including global AI research labs and regional AI ecosystem playersPresent research findings at technical conferences and seminarsSelf‑learn the latest technological development in the rapidly changing AI frontier technology landscapeCollaborate and coach junior AI engineers and interns on the practical aspects of LLM developmentFor Project-Based Spokes (Translation)
Define clear scope, success criteria, and exit conditions upfrontPlan for knowledge transfer and wind‑down when objectives are metRequirementsBSc/MSc in Computer Science, Machine Learning, AI, Statistics, Mathematics, Engineering or equivalent practical experienceFamiliar with NLP tasks and modern NLP modelsFluent in Python, PyTorch, Hugging Face, AllenNLP and related NLP librariesExperience in building and improving NLP deep learning modelsExperience working with container services such as Docker and KubernetesExperience working with Git, RESTful APIExperience working with frontend such as React and TypeScript is a plusExperience in cloud servicesGood communication skills – written and spokenWe regret that only shortlisted candidates will be notified.
