Edge AI Engineer
MYS - Penang - GBS, Malaysia
USD 69K-123K (estimate) Senior-level Full Time
Tasks
- Collaborate with hardware engineers on edge platforms
- Conduct performance benchmarking and validation
- Design develop and optimize AI ML models for edge deployment
- Develop AI applications using sensor data
- Develop and implement MLOps strategies for edge models
- Document designs architectures and implementation details
- Implement efficient inference engines and real time data processing pipelines
- Optimize model performance for power latency and memory
- Provide technical guidance and support
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Computer Vision | Edge Computing | Google Coral | Hailo | HailoRT | Inference | Knowledge Distillation | Language Processing | MLOps | NVIDIA Jetson | Natural Language | Natural Language Processing | Neural Networks | Pruning | PyTorch | PyTorch Mobile | Python | Quantization | RTOS | Raspberry Pi | Real Time | Real-time Systems | TensorFlow Lite | Time Systems
Education
Roles
AI | AI Engineer | Edge AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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