This Role will support all Uniphore products in designing and developing NLP applications, training evaluating models,

- Designing and developing NLP applications

- Using effective text representation techniques and classification algorithms

- Training and evaluating models.

We are looking for a Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications

Job brief :

- NLP Engineer responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms.

- To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques.

- Your ultimate goal is to develop efficient self-learning NLP applications in production.

Responsibilities :

- Study and transform data science prototypes

- Design NLP tools and applications that help measure and diagnose performance issues

- Select appropriate annotated datasets for Supervised Learning methods

- Use effective text representations to transform natural language into useful features

- 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

- Explore fine-tuning methods for supervised learning

- Remain updated in the rapidly changing field of machine learning