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About the role
Solid fundamentals in mathematics, statistics, and machine learning theory Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation Demonstrable proficiency in at least one programming language such as Python, C, C++, Java, etc. Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialog systems Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc. Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc. English fluency Excellent written and verbal communication skills
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