Role: NLP Engineer Digital Innovation - ( Nature Language Processing) Location: Austin ,TX Duration: 12 Plus Months Contract Interview: Phone & Skype Rate: DOE Work: Onsite Mon Friday. Candidate Must do DI Python ML Assessment required Key Responsibilities: Research and utilize Machine Learning (ML) and NLP frameworks and libraries to train NLP models with internal and external datasets Prototype and develop NLP-enabled, services and components Work with the team to develop solutions for semantic search, consumer product ranking, user context understanding and chatbots Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Learn from peers in data science and engineering community Deliver on time with a high bar on quality of research, innovation and engineering Basic Qualifications: Master s degree in AI/ML areas 3+ years of work experience in NLP projects 2+ years of work experience in software development Strong knowledge of text representation techniques (such as n-grams, bag of words, sentiment analysis etc, statistics and classification algorithms 2+ years of work experience with at least one of the following languages: Python, Java, and R Hands-on experience with NLP library CoreNLP, NLTK, Flair or Gensim Preferred Qualifications: Ph. D. preferred 2+ years of experience working in Agile team environment Experience in deep learning neural network Published research on machine learning or NLP Associated topics: .net, application, backend, back end, c++, matlab, perl, sdet, software development engineer, software engineer
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