Responsibilities
- Study and transform data science prototypes
- Design NLP applications
- Select appropriately 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 modelling
- Ability to effectively design software architecture
- Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis etc), statistics and classification algorithms
- Knowledge of Python, C# 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
- Minimum bandwidth available 30hrs/week
- Willingness to participate and available CST morning hours
Natural Language Processing Engineer - Intern • Chicago, IL, United States of America
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