7 Speaker Diarization Jobs

As a ML Research Engineer - ASR at Kaizen Secure Voiz Private Limited, your key responsibilities will include: - Developing and implementing Voice Biometric algorithms and models. - Evaluating and analyzing the performance of Voice Biometric systems. - Implementing advanced security measures to protect biometric data and ensure compliance with privacy regulations. - Optimizing the performance of biometric systems to ensure fast and accurate identification and authentication. - Fine-tuning algorithms and parameters to improve system efficiency and reliability. - Collaborating with cross-functional teams to integrate Voice Biometric solutions into various applications and systems. - Staying up...

As a highly experienced Voice AI/ML Engineer, your role will involve leading the design and deployment of real-time voice intelligence systems with a focus on ASR, TTS, speaker diarization, wake word detection, and building production-grade modular audio processing pipelines for next-generation contact center solutions, intelligent voice agents, and telecom-grade audio systems. **Key Responsibilities:** - Build, fine-tune, and deploy ASR models such as Whisper, wav2vec2.0, Conformer for real-time transcription. - Develop high-quality TTS systems using VITS, Tacotron, FastSpeech for lifelike voice generation and cloning. - Implement speaker diarization for segmenting and identifying speakers ...

Role Overview: You will be responsible for developing multi-agent conversational frameworks with adaptive decision-making capabilities, integrating goal-oriented reasoning and memory components into agents, and building negotiation-capable bots with real-time context adaptation and recursive feedback processing. Additionally, you will fine-tune LLMs/SLMs using proprietary and domain-specific datasets, apply distillation and quantization for efficient deployment on edge devices, and benchmark LLM/SLM performance on server vs. edge environments for real-time use cases. Moreover, you will implement contextual dialogue flows using speech inputs with emotion and intent tracking, deploy advanced S...

You are a highly skilled Speech AI Engineer who will be part of a dynamic team, responsible for building and optimizing speech AI models across various tasks such as Speech Recognition, Language Identification, Speaker Verification, and Speaker Diarization. Your expertise should include a deep understanding of speech processing techniques, proficiency in Conformer and Transformer architectures, and hands-on experience in Python3, PyTorch, ONNX, and containerization tools. It is crucial to maintain a strong focus on clean, modular code practices in your work. Your responsibilities will involve designing, developing, and optimizing Speech AI models for different tasks, implementing and fine-tu...

Design & implement end-to-end speech analytics pipelines for production environments Develop ASR engines using state-of-the-art frameworks (Wav2vec, Whisper, Deep Speech) with PyTorch or TensorFlow

Company Size Large-scale / Global Experience Required 3 - 5 years Working Days 6 days/week Office Location Viman Nagar, Pune Role & Responsibilities Agentic AI Development: Design and develop multi-agent conversational frameworks with adaptive decision-making capabilities. Integrate goal-oriented reasoning and memory components into agents using transformer-based architectures. Build negotiation-capable bots with real-time context adaptation and recursive feedback processing. Generative AI & Model Optimization: Fine-t une LLMs/SLMs using proprietary and domain-specific datasets (NBFC, Financial Services, etc.). Apply distillation and quantization for efficient deployment on edge devices. Ben...

We are looking for a highly experienced Voice AI /ML Engineer to take the lead in designing and deploying real-time voice intelligence systems. This position specifically involves working on ASR, TTS, speaker diarization, wake word detection, and developing production-grade modular audio processing pipelines to support next-generation contact center solutions, intelligent voice agents, and high-quality audio systems. You will be operating at the convergence of deep learning, streaming infrastructure, and speech/NLP technology, with a focus on creating scalable, low-latency systems that cater to diverse audio formats and real-world applications. Your responsibilities will include: - Building,...