Job Description :
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