Skit (previously Vernacular.ai)
Bangalore
About Skit
Skit (previously known as Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its productVernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and provide natural conversations.
Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.
Our Team
Our team of engineers and researchers work on building our voice bot, VIVA, and an advanced speech conversational platform for large scale enterprises. VIVA goes beyond run-of-the-mill voice bots by exploiting features and behaviors that come from a deep understanding of shades of human-machine speech dialogs.
We believe in open innovation and you can check out our work on github here, and our tech website here. You can also follow our tech handle on twitter to know what we are up to these days.
The Role
We are looking for ML Engineer the field of Natural/Spoken Language Understanding (NLU/SLU) to lead product development and research work at Skit.
This person will be responsible for leading work covering SLU across multiple languages, handling complex Dialog Management scenarios, Text Mining, Conversational Behavior, and Response Production.
Responsibilities
You will be working with Product Managers and Engineers to design, build, and deliver ML models and capabilities our voice-bot product, VIVA.
- Formulate and design ML capabilities of our stack with special focus on SLU.
- Lead teams, engineers, and scientist to envision and build new conversational capabilities and ensure delivery of our product roadmap.
- Organize regular reviews and discussions.
- Keep the team up-to-date with latest industrial and research updates.
Requirements
- 4+ years of product development experience in industry.
- Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
- Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
- Git portfolios and blogs are helpful as they let us better evaluate your work.
Applicant and Candidate Privacy Policy
- What information we collect during our application and recruitment process and why we collect it;
- How we use that information; and
- How to access and update that information.
Types of information we collect
- Your name, address, email address, telephone number and other contact information;
- Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
- Information from interviews and phone-screenings you may have, if any;
- Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
- Details of how you heard about the position you are applying for;
- Reference information and/or information received from background checks (where applicable), including information provided by third parties;
- Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
- Information related to any assessment you may take as part of the interview screening process.
How we use information we collect?
- Assessing your skills, qualifications and interests against our career opportunities;
- Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
- Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
- Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
- Making improvements to Skit’s application and/or recruitment process including improving diversity in recruitment practices;
- Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.
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