Senior Voice AI / Speech ML Engineer

📍 Location: HSR Layout, Bengaluru
🏢 Work Mode: On-site
💼 Experience: 3–4 Years
⏱️ Employment: Full-time
About the Role
We’re looking for a Senior Voice AI / Speech ML Engineer to build the next generation of real-time voice intelligence systems.
This role is for someone who has personally trained speech/foundation models, worked deeply with ASR/TTS, and can take models from experimentation to production.
What You’ll Work On
Develop, train, fine-tune and evaluate Voice AI and speech models.
Work hands-on with ASR, TTS, VAD, speaker identification and conversational AI.
Build training pipelines using large-scale speech, audio and text datasets.
Work with Transformers, PyTorch/TensorFlow and GPU infrastructure.
Improve model accuracy, latency, robustness and inference efficiency.
Optimize and deploy models for real-time production workloads.
Work on multilingual and Indian-language speech AI use cases.
Collaborate with research and engineering teams to take models from R&D → production.
Must-Have
3–4 years relevant full-time experience in Speech AI / ML / NLP or related areas.
Proven hands-on experience training/pre-training foundation models.
Hands-on ASR or TTS model development/training.
Strong Python and PyTorch/TensorFlow.
Experience with Transformers, GPUs and large-scale/distributed training.
Strong understanding of model evaluation, optimization and debugging.
Good to Have
Indian/multilingual speech experience.
Whisper, wav2vec2, HuBERT, NeMo, SpeechBrain or Hugging Face.
Distributed training, quantization and production deployment.
Audio preprocessing, augmentation and dataset engineering.
Not a Fit
This is not a generic GenAI/RAG or voice-agent integration role. Candidates whose experience is limited to API integration, prompt engineering, RAG, or using pretrained speech models without training them will not fit the requirement.

Work arrangement
Yes