We are looking for a Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications. NLP Engineer responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods, and text representation techniques. Your ultimate goal is to develop efficient self-learning NLP applications in production.
Study and transform data science prototypes Design NLP tools and applications that help measure and diagnose performance issues Select appropriate annotated datasets for Supervised Learning methods Use effective text representations to transform natural language into useful features Train the developed model and run evaluation experiments Perform statistical analysis of results and refine models Extend ML libraries and frameworks to apply in NLP tasks Explore fine-tuning methods for supervised learning Remain updated in the rapidly changing field of machine learning
3+ years of proven experience as an NLP Engineer or similar role Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling Ability to effectively design software architecture Deep understanding of text representation techniques (such as n-grams, bag of words, embeddings etc.) and statistics and classification algorithms