Natural Language Processing Engineer

Job Brief

This job description template for Natural Language Processing Engineers will help you attract NLP-specialist software engineers. You can modify the template to suit your needs.

Job Description

• ● 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

Job 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