AI Voice Model Developer

5 days ago


Pune, Maharashtra, India beBeeAI Full time ₹ 25,00,000 - ₹ 30,00,000
Job Opportunity: AI Innovation Specialist

Reputable clients seek skilled professionals to develop and refine cutting-edge AI models for voice synthesis, speech recognition, and 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
  • 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.

Work Arrangement: Remote

Immediate start is ideal. A successful candidate will have developed and optimized text-to-speech models achieving human-like voice synthesis, maintaining the unique style of voice actors across multiple languages. They should also have implemented real-time processing solutions reducing inference time to under 1 second, enhancing user interaction and experience. Furthermore, they managed large-scale datasets for voice cloning projects ensuring high performance and reliability while supporting multilingual transcriptions.

With a strong background in speech/audio processing, relevant toolkits, and voice model architectures, this individual will excel in designing, developing, and fine-tuning deep learning models for voice synthesis and other tasks. Excellent collaboration and communication skills are essential to work effectively with cross-functional teams.


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