Natural Language Processing Engineer

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Job Description

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.

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