Lead Speech AI Scientist – Multilingual ASR

Job description

Lead Data Scientist-speech specialist (ASR)

Location : Bangalore (India)

Type : Full-Time | Immediate Joining Preferred

CTC : Competitive ( 25-50 LPA )

About YAL.ai

YAL.Ai which stands for Your Alternative Life, is a revolutionary end-to-end communication and discovery platform that redefines how people connect, interact, and collaborate. Powered by advanced AI, YAL.ai offers secure, AI-driven instant chats, group discussions, dynamic communities, and seamless VoIP calls, delivering a comprehensive and engaging communication experience.

Built on a robust Zero Trust Architecture, YAL.ai ensures maximum security by verifying every interaction and safeguarding user data at all levels. Our platform incorporates on-device AI models for enhanced privacy, zero-day fraud detection, multilingual automatic speech recognition (ASR), personalized recommendations, and comprehensive multilingual support.

YAL.Ai embodies the essence of trust and innovation with its tagline, “Where AI Meets Integrity.” Users can build meaningful connections, foster vibrant communities, and explore limitless opportunities in a secure, privacy-centric digital environment. YAL.ai isn’t just a platform—it’s your alternative life, where communication and discovery are smarter, safer, and more impactful.

Role Overview

We’re seeking a highly skilled Lead Speech Researcher with deep expertise in speech technologies and advanced NLP to join our growing AI research team. In this role, you’ll work on building and optimizing machine learning systems that power intelligent audio and language-based solutions, contributing to next-generation AI products that prioritize privacy, performance, and scalability.

Key Responsibilities

• Build a real-time voice-to-text (ASR) pipeline using models like Whisper, wav2vec2, DeepSpeech, or custom speech models.
• Design and implement fraud detection logic based on transcribed speech, keywords, and intent patterns.
• Integrate telecom call metadata to generate a multi-signal fraud score.
• Optimize entire model pipeline for low-latency mobile inference (TFLite, ONNX, quantization).
• Collaborate with VoIP / backend engineers to analyze call behavior patterns.
• Contribute to future capabilities : audio fingerprinting, real-time call classification, and voice anomaly detection.
• Work closely with AI Product and MLOps teams for deployment, updates, and feedback-based iteration.

Required Technical Skills

Qualifications

Experience

Bonus if You Have

How to Apply

Easy apply on or DM us here on or send your CV + work samples (GitHub, papers, demos) to hire.ai@yal.chat with subject line

Subject : [Lead Speech Researcher | Your Name]