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

• 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

• You will be given NO compensation as part of this engagement.
• Flexible hours to complete your projects
• Chicagoland OR Remote position (Work from the comfort of your home)
• Extensive Training and Support Material
• Knowledge Transfer from Industry Expert
• Working With Diverse International Team
• Learn working with Dev Ops
• Learn Working with Agile Environment
• Fast Pace Agile Environment
• Able to work with various AI/ML related projects