Hands-on NLP ML machine leaning is must and must have worked withNLP packages such as Stanford NLP, NLPTK and other open-source libraries.
Familiar with concepts such as named entity extraction, topicmodelling, relationships between text structures.
Data acquisition technologies.
Experience with proprietary NLP technologies is an added bonus.
Education : ML LLM
How to apply:
Please mention NLP People as a source when applying
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