Speech AI Engineer

4 weeks ago

Anand, 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 designingvoice intelligencethat powers conversational platforms for governments, enterprises, and next-gen contact centers. Your mission is to make machines sound human — blendingdeep learning, linguistics, and emotion modelingto create voices that respond with empathy and precision. You’ll work on speech pipelines that run in real time, across languages likeArabic, 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 deployASR/STT systemsusing Whisper, NeMo, or Azure Speech. DevelopTTS pipelinescapable of expressive, multilingual synthesis (Arabic, English, Hindi). Fine-tune and customize models fordialects and prosody control , especially Emirati Arabic. Build robustspeech 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 forGPU inference ,batch streaming , andlow-latency response .Preferred Project Experience Minimum 4 yearsof experience delivering results in fast-paced, high-pressure project environments Delivered production-gradespeech models(contact centers, IVRs, assistants). Fine-tuned or trainedcustom TTS/ASRfor specific regions or accents. Integratedspeech pipelines with LLMsin deployed systems. Experience withvoice analytics ,emotion detection , orspeaker ID systems . Provide asample ,demo , orGitHublink 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 inSignal Processing, Deep Learning for Audio , orMultilingual Speech Systems . Research or thesis work inspeech synthesis, accent modeling, or dialogue systems .

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