Artificial Intelligence Voice Model Specialist

3 days ago


India beBeeAi Full time ₹ 15,00,000 - ₹ 28,00,000

We're looking for a highly skilled AI Model Developer to join our team.

A US-based IT company is seeking an experienced professional with hands-on expertise in building and optimizing voice models for one of its clients in the enterprise voice solution domain. The ideal candidate will work on developing, training, and refining AI models for voice synthesis, voice cloning, speech recognition, and/or voice transformation.

Key Responsibilities:

  • Design, develop, 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.
  • Collect, preprocess, and augment speech datasets.
  • Collaborate with product and engineering teams to integrate voice models into production systems.
  • Perform evaluation and quality assurance of voice model outputs.
  • Research and 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.

Benefits:

  • Remote work option available.
  • Opportunity to work on cutting-edge voice model development projects.
  • Collaborative team environment.

Other Requirements:

  • 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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