Lead Audio Machine Learning Engineer

ROLE OVERVIEW

We are seeking a highly skilled Senior Audio ML Engineer who can develop, optimize, and deploy advanced speech processing models across distributed GPU clusters. You will drive audio ML initiatives, architect scalable training pipelines for speech generation and recognition systems, and ensure production-ready deployment of state-of-the-art audio models including TTS, ASR, voice cloning, and speech translation systems.

KEY ROLES

• Design, develop, and enhance speech processing models including TTS, ASR, Speaker Diarization, Source Separation, and Speech-to-Speech Translation systems for production use cases.
• Architect and optimize distributed training pipelines across GPU clusters for large-scale speech model training using advanced parallelization strategies.
• Fine-tune and customize speech foundation models using proprietary audio datasets, advanced training techniques, and comprehensive evaluation frameworks.
• Develop state-of-the-art voice cloning systems with zero-shot capabilities, emotion control, accent flexibility, pitch variation, and cross-lingual expressivity.
• Design high-performance inference pipelines for speech models using TensorRT, ONNX, quantization, streaming, and GPU optimization techniques.
• Ensure all speech models are production-grade—robust, scalable, monitored, and integrated into real-time audio processing systems.
• Research and evaluate cutting-edge architectures in speech synthesis, recognition, and multimodal audio-visual systems.
• Collaborate with the audio ML team to drive technical excellence and knowledge sharing across speech processing initiatives.

RESPONSIBLITES

REQUIRED QUALIFICATIONS

NOTE - We accept international applicants also.