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15 hours ago
Job Title: Intelligent Voice Systems Engineer
About the Role:We are seeking an accomplished voice systems engineer with hands-on experience in designing, developing, and optimizing voice models for enterprise-class voice solutions. The ideal candidate will have a strong background in deep learning, speech/audio processing, and machine learning libraries.
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.
- Collect, preprocess, and augment speech datasets to ensure high-quality results.
- Collaborate with product and engineering teams to integrate voice models into production systems.
- Evaluate and assure the quality of voice model outputs to meet business requirements.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
- Strong programming skills in Python and experience with 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) and deep learning concepts.
- Experience deploying models to real-time applications or mobile devices.
- Knowledge of data labeling, voice dataset creation, and noise handling techniques.
- Experience working with cloud-based AI/ML infrastructure (e.g., AWS, GCP).
- Contributions to open-source projects or published papers in speech/voice-related domains.
This is an exciting opportunity to work on cutting-edge voice technology solutions and contribute to our client's renowned team. Our team values innovation, collaboration, and continuous learning.
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