Tech Lead (Voice AI Architect)

Hireologist; India; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Hireologist is seeking a senior ML/speech engineer in India to lead production voice pipelines and optimize latency for real-time calls. You will evaluate build-vs-buy options for ASR/TTS, and work across Hindi/Hinglish and English accents for Indian and UAE markets.

You will mentor Conversational AI and ML/Voice engineers, shape hiring standards, and drive cost-efficient performance improvements while ensuring robust integration with telephony stacks such as SIP and WebRTC.

Qualifications

• Production experience with at least one ASR engine (Whisper, Deepgram, Google STT, Azure Speech) at scale.
• Comfortable working across Hindi/Hinglish and English accent handling for Indian/UAE markets.
• Experience handling dialect variation and code-switching (e.g. Hinglish, Gulf Arabic variants) in production ASR/NLU
• LLM & Conversational AI
• Hands-on experience with LLM-based dialogue systems (function calling, RAG, or fine-tuning)
• Strong grasp of telephony integration: SIP, WebRTC, Twilio/Exotel/Ozonetel or similar
• Performance & Optimization
• Experience optimizing for latency and cost simultaneously in a live voice pipeline

Responsibilities

• Make build-vs-buy calls on ASR/TTS vendors (Deepgram, Azure Speech, ElevenLabs, or open-source Whisper/Coqui)
• Own latency budget across the pipeline (target sub-1.5s round-trip for live calls)
• Mentor Conversational AI and ML/Voice engineers; own technical hiring bar

Skills

ASR engine experience

Latency optimization

Telephony integration

Multilingual/Hinglish

LLM & Conversational AI

Function calling / RAG / fine-tuning

Production deployment

Team mentoring

Tools

Whisper

Deepgram

Google STT

Azure Speech

Twilio

WebRTC

SIP

Job description

Experience: 7–10 years in ML/speech engineering, with 2+ years architecting production voice pipelines

Responsibilities

• Make build-vs-buy calls on ASR/TTS vendors (Deepgram, Azure Speech, ElevenLabs, or open-source Whisper/Coqui)
• Own latency budget across the pipeline (target sub-1.5s round-trip for live calls)
• Mentor Conversational AI and ML/Voice engineers; own technical hiring bar

Qualifications

• Must-Have Technical Qualifications
• Production experience with at least one ASR engine (Whisper, Deepgram, Google STT, Azure Speech) at scale
• Comfortable working across Hindi/Hinglish and English accent handling for Indian/UAE markets
• Experience handling dialect variation and code-switching (e.g. Hinglish, Gulf Arabic variants) in production ASR/NLU
• LLM & Conversational AI
• Hands-on experience with LLM-based dialogue systems (function calling, RAG, or fine-tuning)
• Strong grasp of telephony integration: SIP, WebRTC, Twilio/Exotel/Ozonetel or similar
• Performance & Optimization
• Experience optimizing for latency and cost simultaneously in a live voice pipeline