Walk-in || ML Engineer

Job description

Walkin drive-Hyderabad-4 July Lead development and optimization of speechbased machine learning models (STT/TTS) using modern opensource frameworks - Deep expertise in PyTorch: training loops, finetuning, distributed training (DDP, Accelerate). - ONNX Runtime & TensorRTexperience 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 Faceecosystem: datasets, tokenizers, training utilities