Job Location: Bangalore
Uniphore is the global leader in Conversational Automation. Every day, billions of conversations take place across industries — customer service, sales, HR, education and more. Whether they are human to human, human to machine or machine to machine, conversations are at the heart of everything we do, and the new currency of the enterprise.
At Uniphore, we believe companies that best understand and act on those conversations will win. We have built the most comprehensive and powerful conversational automation platform that combines conversational AI, workflow automation, and RPA (Robotic Process Automation) with a business user-friendly-UX (User Experience) in a single integrated platform to transform and democratize customer experiences across industries.
Job brief
We are looking for a Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications.
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 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
Ability to effectively design software architecture
- – 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
Deep understanding of text representation techniques (such as n-grams, bag of words, embeddings etc.) and statistics and classification algorithms
Knowledge of Python, 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.
For more information on how Uniphore delivers business value using Conversational Automation, please visit www.uniphore.com
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