AI Engineer

We are seeking a skilled and innovative AI Engineer with hands-on experience in building and optimizing voice models. In this role, you will work on developing, training, and refining AI models for voice synthesis, voice cloning, speech recognition, and/or voice transformation. Your work will contribute to cutting-edge applications in conversational AI, voice assistants, and generative audio., Developed and optimized text-to-speech models that achieved human-like voice synthesis, maintaining the unique style of voice actors across multiple languages.

• Implemented real-time processing solutions that reduced inference time to under 1 second, enhancing user interaction and experience.

• Managed large-scale datasets for voice cloning projects, ensuring high performance and reliability while supporting multilingual transcriptions.

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.

Role Description: The AI Engineer must have 3+ years of experience. Fir this role, you must be a strong AI Engineer with experience in assisting with the AI Voice project., 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.

Education: Bachelor's degree

Experience: Minimum 3+ years of experience

We have various coverages and additional benefits to choose from:

• Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll).

• Paid Leaves (Wherever applicable).