Machine Learning Engineer

Role: Machine Learning Engineer

Experience range: 8-10 years

Location: Bangalore

Job description:

Role: Lead development and optimization of speechbased machine learning models (STT/TTS) using modern opensource frameworks.

Responsibilities :

• Drive endtoend development of speechrelated ML components and model pipelines.
• Implement finetuning, optimization, and evaluation workflows for AI models.
• Ensure model efficiency, scalability, and readiness for production environments.
• Work closely with data, engineering, and platform teams to align training and deployment workflows.
• Provide technical leadership on model performance, experimentation, and best practices.

Required Skills :

• Deep expertise in PyTorch: training loops, finetuning, distributed training (DDP, Accelerate).
• ONNX Runtime & TensorRT experience for model conversion, optimization, and accelerated inference.
• Understanding of speech/audio processing: spectrograms, MFCCs, VAD, noise reduction.
• Handson experience with at least one speech framework:
• Whisper, ESPnet, Coqui TTS, NVIDIA NeMo, or similar.
• Experience training ML models on GPU clusters (A100, V100) and managing longduration jobs.
• Familiarity with Hugging Face ecosystem: datasets, tokenizers, training utilities.