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.

3+ years of hands-on experience developing Speech to Text (STT / ASR) systems using open source toolkits like Kaldi, Pytorch-Kaldi, Espnet andWav2letter ++

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

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