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

• 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