Expert Audio Signal Processing Engineer
21 hours ago
At HR POD - Hiring Talent Globally, we are seeking an exceptional Expert Audio Signal Processing Engineer to join our team.
About the Role:We are looking for a highly skilled and experienced audio signal processing engineer with a strong background in machine learning engineering, particularly in audio or speech processing. The successful candidate will be responsible for training, fine-tuning, and deploying open-source TTS (Text-to-Speech) and voice cloning models. They will also experiment with state-of-the-art architectures, optimize for quality, latency, and efficiency, and implement advanced audio processing techniques to achieve high-fidelity outputs.
Key Responsibilities:- Design and deploy scalable inference solutions using tools like Triton Server.
- Develop robust APIs or services to integrate ML models into production environments.
- Create and maintain data pipelines for large-scale audio datasets.
- Ensure efficient workflows for data processing, annotation, and management.
- Leverage frameworks such as Librosa, PyTorch, TensorFlow, and other DSP tools.
- 4+ years of experience in Machine Learning Engineering, with a focus on audio or speech processing.
- Strong expertise in TTS systems and voice cloning (e.g., Tacotron, WaveNet, VITS, diffusion-based models).
- Proficiency in audio processing libraries such as Librosa, FFmpeg, and SoundFile.
- Familiarity with open-source models and frameworks like Hugging Face, ESPNet, and Fairseq.
- Solid understanding of MLOps tools such as Triton Server, Docker, and Kubernetes.
- Advanced Python programming skills with experience in frameworks like PyTorch and TensorFlow.
- Hands-on experience developing APIs using Flask, FastAPI, or similar frameworks.
- Familiarity with cloud platforms like AWS, GCP, or Azure.
- Competitive salary: $140,000 - $170,000 per annum.
- Ongoing professional development and training opportunities.
- A dynamic and collaborative work environment.
- A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
If you are passionate about advancing the field of audio signal processing and have a drive to push the boundaries of what is possible, please submit your application.
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