Natural Language Processing Engineer - Intern

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