Machine Learning Engineer (Sound Detection)
Tasks
- Collaborate with engineering teams to deliver integrated solutions
- Deploy and optimize models on edge hardware
- Design audio detection and classification systems
- Develop machine learning models for sound event detection
- Develop production-grade Python systems
- Ensure robustness under variable acoustic conditions
- Handle imbalanced datasets with augmentation
- Implement signal processing pipelines for noisy environments
- Optimize inference performance with ONNX
- Optimize low latency streaming pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Audio signal processing | Convolutional Neural Network | Data Augmentation | Edge AI | Feature extraction | Imbalanced Learning | Machine Learning | Multiprocessing | NVIDIA Jetson | Neural Network | Noise Reduction | ONNX | OpenVINO | Python | Raspberry Pi | Signal Processing | Spectrogram | Streaming | Synthetic data | TensorRT | YAMNet
Education
N/A
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