Senior Software Engineer, Voice AI
Join Nooks' specialized team to develop state-of-the-art voice and conversational AI features. As a Senior Software Engineer, you will be responsible for the entire lifecycle of our voice products, from model integration to scalable production deployment. This role requires deep technical expertise in audio processing, Natural Language Processing (NLP), and machine learning principles. Key responsibilities include implementing real-time speech recognition pipelines, enhancing text-to-speech quality, optimizing conversational flows, and ensuring the reliability of our voice services at scale. You must be adept at working with complex data streams and ML frameworks. We seek a builder who is passionate about pushing the boundaries of human-computer interaction through advanced AI.
(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)
Preparing
1950
Question set
200
Duration
Permanent
Focus areas
People Also Ask (FAQs)
What is the last date to apply for Senior Software Engineer, Voice AI?
The closing date is listed in the official advertisement — apply as early as possible.
How do I apply for Senior Software Engineer, Voice AI?
Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.
Is there negative marking in the nooks test?
The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.
What is the passing marks for this test?
The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.
How can I prepare for the Senior Software Engineer, Voice AI test?
Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Voice AI, Speech Recognition, Natural Language Processing (NLP), Audio Processing, Machine Learning Deployment.
Quick start
Review the job summary, then jump into prep with the same flow used for exam starts.