Applied research scientists/engineers are expected to find innovative and cost-effective solutions to key problems, deliver high quality code, and work with product managers/machine learning engineers/performance, quality engineers to take the product to market. To be successful in this role you have: 14-17+ years of relevant experience Solid software development skills in Python/C++/Java Experience in training transformer-based language models and their variants (T5, BART, BERT etc) Knowledge of transformer architecture and the impacts of modifying the same Experience in using GPUs to train deep learning models Good knowledge of solving industrial problems using deep learning models with NLP-related use-cases Strong understanding & Hands-on at model compression via parameter quantisation, distillation, teacher-student training techniques Strong understanding of large language models(LLM), and prompting approaches Strong understanding & Hands-on at AI quality evaluation metrics Experience in reading papers and implementing algorithms described in papers An advanced degree in computer science (MS/PhD) with a major in Natural Language Processing
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