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 roleUnderstanding of NLP techniques for text representation, semantic extraction techniques, data structures and modellingAbility to effectively design software architectureDeep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis etc), statistics and classification algorithmsKnowledge of Python, C# and RAbility to write robust and testable codeExperience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)Strong communication skillsAn analytical mind with problem-solving abilitiesDegree in Computer Science, Mathematics, Computational Linguistics or similar fieldMinimum bandwidth available 30hrs / weekWillingness to participate and available CST morning hoursBenefits 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