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Deep Learning Engineer
7 days ago
Qualifications:
- A Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field from leading research institutes.
- Knowledge with speech technologies like Automatic Speech Recognition (ASR), Multilingual Speech Recognition, Diarization, Language Model, Pronunciation Model, Audio classification.
- Hands-on experience in building Hybrid speech recognition systems like GMM-HMM, DNN-HMM
- Hands-on experience in building end-to-end speech recognition systems using the latest architectures like wav2vec2, HuBERT, Whisper, LAS.
- Familiarity with machine learning and deep learning libraries such as Scikit Learn, TensorFlow, or PyTorch.
- Strong programming experience in languages like Python, C/C++, Shell scripting etc.
- Experience contributing to research communities, including publications at conferences and/or journals
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