Staff Machine Learning Engineer
Tasks
- Apply quantization pruning distillation and memory optimization
- Build and train Edge AI models
- Build unsupervised and supervised anomaly detection models
- Cluster log patterns and detect regressions
- Correlate signal anomalies with system events
- Create synthetic data
- Define on device data strategy
- Integrate ML workflows with LLM APIs
- Lead edge ML pipeline architecture
- Mentor junior engineers
- Port and optimize models for edge deployment
- Process unstructured logs and sensor data
Perks/Benefits
Skills/Tech-stack
AutoEncoder | C++ | CNN | CPU | Edge AI | Embedded Systems | GPU | GRU | Isolation Forest | Knowledge Distillation | LSTM | Linux | Machine Learning | Mqtt | NLP | NVIDIA TensorRT | ONNX | Pruning | PyTorch | Python | QNX | Qualcomm SNPE | Quantization | RNN | Scikit-learn | Synthetic data | TVM | TensorFlow | TensorFlow Lite | Transformer
Education
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