Speech AI Engineer

2 days ago


India The Future of Voice Full time

Overview We’re building the future of voice — intelligent, expressive, multilingual systems that can understand, respond, and connect with humans naturally. As our Speech AI Engineer , you’ll be part of a high-performance team designing  voice intelligence that powers conversational platforms for governments, enterprises, and next-gen contact centers. Your mission is to make machines sound human — blending  deep learning, linguistics, and emotion modeling to create voices that respond with empathy and precision. You’ll work on speech pipelines that run in real time, across languages like  Arabic, English, Hindi , and beyond — optimizing for accuracy, speed, and natural flow. This role is for those who thrive on pushing limits — where milliseconds matter, and the voice you create will represent the next leap in human–AI interaction. Key Responsibilities Design and deploy  ASR/STT systems using Whisper, NeMo, or Azure Speech. Develop  TTS pipelines capable of expressive, multilingual synthesis (Arabic, English, Hindi). Fine-tune and customize models for  dialects and prosody control , especially Emirati Arabic. Build robust  speech preprocessing , noise reduction, and diarization systems. Integrate voice AI into live contact center flows with CRM and LLM backends. Work with linguists and UX teams to build emotionally adaptive voice personas. Optimize speech models for  GPU inference ,  batch streaming , and  low-latency response . Preferred Project Experience Minimum 4 years of experience delivering results in fast-paced, high-pressure project environments Delivered production-grade  speech models (contact centers, IVRs, assistants). Fine-tuned or trained  custom TTS/ASR for specific regions or accents. Integrated  speech pipelines with LLMs in deployed systems. Experience with  voice analytics ,  emotion detection , or  speaker ID systems . Provide a sample , demo , or GitHub link showing your speech or voice-related project. Minimum Qualification Bachelor’s degree in Computer Science, Electrical Engineering, or Linguistics with AI focus. Preferred Qualification Master’s in Speech Processing, Computational Linguistics, or AI/ML. Specialization in  Signal Processing, Deep Learning for Audio , or  Multilingual Speech Systems . Research or thesis work in  speech synthesis, accent modeling, or dialogue systems .



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