NLP Engineer

Key Skills

Analytical and Problem solving, C++, JavaScript, Natural Language Processing (NLP), Python Programming, PyTorch, R Programming

Job Description

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. 

Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. 

As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.

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

Requirements

• 3+ years of hands-on experience in Python and developing Speech to Text (STT/ASR) systems using open source toolkits like Kaldi, Pytorch-Kaldi, Espnet andWav2letter ++
• Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
• Hands on experience and knowledge on developing Factorized TDNN, CNN and BiLSTM based acoustic models
• Hands on experience dealing with Grapheme to phoneme Modelling, should be able to develop a G2P model for less resource languages
• Hands on experience developing statistical as well as neural language models
• Knowledge of Java and R
• Ability to write robust and testable code
• Strong communication skills
• An analytical mind with problem-solving abilities

Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.