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 prototypesDesign NLP tools and applications that help measure and diagnose performance issuesSelect appropriate annotated datasets for Supervised Learning methodsUse effective text representations to transform natural language into useful featuresTrain the developed model and run evaluation experimentsPerform statistical analysis of results and refine modelsExtend ML libraries and frameworks to apply in NLP tasksExplore fine-tuning methods for supervised learningRemain updated in the rapidly changing field of machine learning(ref : hirist.tech)