Machine Learning Engineer - Voice AI

We are looking for a Machine Learning Engineer - Voice AI to build and optimise production-ready voice AI systems. The ideal candidate has hands-on experience developing and deploying real-time speech and conversational AI solutions, with a strong focus on reliability, latency, and scalability.

Responsibilities:

• Design and build end-to-end Voice AI pipelines including ASR (Speech-to-Text), Dialogue Management, and TTS (Text-to-Speech).
• Optimise production voice systems for low latency, high accuracy, scalability, and reliability.
• Integrate and fine-tune speech and language models for enterprise use cases.
• Work closely with Product, Customer Success, and Engineering teams to translate business requirements into production systems.
• Monitor, debug, and continuously improve deployed voice agents using real customer interactions.
• Balance model quality with latency, cost, and infrastructure constraints.
• Collaborate with backend and infrastructure teams to integrate voice systems with telephony platforms, CRMs, and workflow automation.

Requirements:

• 4+ years of experience in Machine Learning Engineering.
• Hands-on production experience with Voice AI systems.
• Strong experience in one or more of: Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Real-time Conversational AI, Voice Agent Pipelines.
• Strong programming skills with production-quality software engineering practices.
• Experience fine-tuning and deploying speech/language models.
• Experience optimising models for low-latency inference.
• Experience handling multilingual and noisy audio environments.
• Prior experience in Voice AI, Conversational AI, Speech AI, or Call Automation products.

Good to Have:

• Experience with multilingual voice systems (especially Indian languages).
• Telephony integrations (SIP, Dialers, CRM platforms).
• Real-time inference optimisation.
• Model training, fine-tuning, and production deployment.
• Experience building scalable AI systems for enterprise applications.

Preferred Background:

• Candidates from companies working on: Voice AI, Conversational AI, Speech AI, Contact Centre AI, Voice Bots, Call Automation Platforms, Customer Engagement AI
• Key Skills: Voice AI, Speech AI, ASR, Automatic Speech Recognition, TTS, Text-to-Speech, Conversational AI, Dialogue Systems, Machine Learning, Deep Learning, NLP, LLMs, PyTorch, TensorFlow, Python, Real-time Inference, Low Latency Systems, Voice Bots, Speech Models, Audio Processing, Production ML, Telephony, SIP, CRM Integration, AI Agents.