Natural Language Processing Engineer

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 and skills

• 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