Staff Machine Learning Engineer- Voice AI (Hyderabad)

Staff Machine Learning Engineer- Voice AI (Hyderabad)

10 Oct
|
ServiceNow
|
Hyderabad

10 Oct

ServiceNow

Hyderabad

Job Description

What you get to do in this role:

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even straightforward results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner.



We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.

- Contribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness)
- Partner with product managers to work with customers, understand their use cases and technology challenges, and build for their success
- Build and deploy large Voice AI distributed systems at scale spanning multiple regions and datacenters
- Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.)
- Contribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling
- Be a mentor for colleagues and help promote knowledge-sharing across Voice AI engineering disciplines

📌 Staff Machine Learning Engineer- Voice AI (Hyderabad)
🏢 ServiceNow
📍 Hyderabad

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