Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP
5+ years of industry experience in building large-scale NLP systems
Strong understanding of the fundamentals of ML and NLP, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP applications
Good understanding of recent trends in NLP around transformers, language models, text classification, generative approaches for NLP, prompting techniques, question answering, information retrieval, etc
Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining machine learning models in production
Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development
Excellent communication, collaboration skills, and presentation skills.
Experience with Spoken Language Understanding is a plus
Published papers in top NLP conferences or workshops are a plus