Job descriptions for Tech roles at Skit. In case you are interested in any role, share your profile by emailing us at [email protected]. Read on to know more.
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 product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like 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 also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation. We are growing really fast and on track to become the Voice AI powerhouse.
Tech teams at Skit work on two main projects. First is VIVA, our voice bot that 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. Second is an advanced speech tech platform for large scale enterprises that helps build speech products at unprecedented level of naturalness.
Building these systems requires extensive research and product development work in Spoken Language Understanding, Speech Recognition, Paralinguistics, Response Production as well as low latency ML Systems, Infrastructure, and Large Scale Audio AI pipelines.
We are looking for people to invent and mature advanced technologies to make our voice bots understand and adapt to conversations that are considered challenging for any speech based system right now. Along the way, you get to publish in prestigious conferences and work with a strong community of researchers from the field.
For the platform side, we are looking for experienced technologists to architect and build the whole system. More than just reducing cost and time to go live, our aspiration is to bring in the next wave of innovation in the voice bot universe with this platform, similar to what Amazon did with AWS. For this, we are working on systems that go beyond standard APIs and SDKs for building bots by providing revolutionary new foundational components and abstractions.
Specific roles are arranged in JDs in this repository under the two main functions, ML and Engineering.
JDs are organized in function named directories.
We are not imposing any structure on JD other than adding a front matter that would contain meta information like this:
---
authors: lepisma # Authors who contributed in writing JD
groups: [research, product] # Business groups where this person will be
# involved in
teams: [core-ml, research-ml] # Team names where this person will be present
level: L4 # Seniority level
active: false # Whether we are currently hiring for this
# role
draft: true # Whether this JD is approved and can be shared.
# This overrides the `active` flag. Optional.
---
For publishing, share the markdown with recruitment team and let them post on portals. There are more things added to the description like privacy policy etc. Those are slapped on these items before sharing on job portals.
You might also see level in the metadata. Based on our last thoughts on
levels, we have the following rough scale:
| Level | Remarks |
|---|---|
| L1 | Mostly fresh folks |
| L2 | |
| L3 | |
| L4 | ~Tech Lead / ~EM |
| L5 | Director |
| L6 | VP |
| L7 | CXO |
Higher levels are discussed on a case by case basis at the moment.