Natural Language Processing Engineer

About the position

Responsibilities Study and transform data science prototypes Design NLP applications Select appropriate annotated datasets for Supervised Learning methods Use effective text representations to transform natural language into useful features Find and implement the right algorithms and tools for NLP tasks Develop NLP systems according to requirements 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 Remain updated in the rapidly changing field of machine learning Requirements 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, sentiment analysis etc), statistics and classification algorithms Knowledge of Python, Java and R Ability to write robust and testable code Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Strong communication skills An analytical mind with problem-solving abilities Degree in Computer Science, Mathematics, Computational Linguistics or similar field

Place of work