
AI Innovation Specialist
1 week ago
We are seeking a seasoned expert to lead the development and optimization of cutting-edge voice models for our Enterprise class voice solution domain.
The ideal candidate will be responsible for designing, developing, training, and refining AI models for voice synthesis, voice cloning, speech recognition, and/or voice transformation.
- Key Responsibilities:
- Create and fine-tune deep learning models for voice synthesis (e.g., TTS, voice cloning).
- Implement and optimize neural network architectures such as Tacotron, FastSpeech, WaveNet, or similar.
- Cultivate high-quality speech datasets through collection, preprocessing, and augmentation.
- Collaborate with product and engineering teams to integrate voice models into production systems.
- Evaluate and ensure quality assurance of voice model outputs.
- Stay current on advancements in speech processing, audio generation, and machine learning.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
- Strong experience with Python and machine learning libraries (e.g., PyTorch, TensorFlow).
- Hands-on experience with speech/audio processing and relevant toolkits (e.g., Librosa, ESPnet, Kaldi).
- Familiarity with voice model architectures (TTS, ASR, vocoders).
- Understanding of deep learning concepts and model training processes.
Preferred Qualifications:
- Experience with deploying models to real-time applications or mobile devices.
- Knowledge of data labeling, voice dataset creation, and noise handling techniques.
- Experience with cloud-based AI/ML infrastructure (e.g., AWS, GCP).
- Contributions to open-source projects or published papers in speech/voice-related domains.
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