Natural Language Processing Engineer - Intern



- 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


- 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

Benefits and Perks:
1. You will be given  NO compensation as part of this engagement.
2. Flexible hours to complete your projects
3. Chicagoland OR Remote position (Work from the comfort of your home)
4. Extensive Training and Support Material
5. Knowledge Transfer from Industry Expert
6. Working With Diverse International Team
7. Learn working with DevOps
8. Learn Working with Agile Environment
9. Fast Pace Agile Environment
10. Able to work with various AI/ML related projects

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