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2 days ago
As a seasoned AI Engineer, you will play a pivotal role in developing and optimizing voice models for cutting-edge voice solutions.
Key Responsibilities:
- Design and develop deep learning models for voice synthesis (e.g., TTS, voice cloning).
- Implement and optimize neural network architectures such as Tacotron, FastSpeech, WaveNet, or similar.
- Collections, preprocess, and augment speech datasets.
- Collaborate with product and engineering teams to integrate voice models into production systems.
- Evaluate and quality assurance of voice model outputs.
This role involves working on real-time processing solutions that reduce inference time to under 1 second, enhancing user interaction and experience. You will also manage large-scale datasets for voice cloning projects, ensuring high performance and reliability while supporting multilingual transcriptions.
The ideal candidate has strong experience with Python and machine learning libraries (e.g., PyTorch, TensorFlow). You should have hands-on experience with speech/audio processing and relevant toolkits (e.g., Librosa, ESPnet, Kaldi) and familiarity with voice model architectures (TTS, ASR, vocoders).
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