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TL;DR
Edge AI Engineer (AI): Developing and deploying machine learning models for resource-constrained edge hardware with an accent on model compression and on-device analytics. Focus on optimizing performance for low-power devices and programming low-level code for high-efficiency execution.
Location: Lisboa, Portugal
Salary: €29,000–€36,000
What you will do
- Compress AI models to fit within the constraints of edge hardware.
- Deploy machine learning models to edge devices.
- Develop algorithms for on-device analytics.
- Optimize model performance and efficiency on edge hardware.
- Program low-level code to ensure high performance on low-power systems.
Requirements
- Proficiency in C++ and Python.
- Experience with model quantization, pruning, and knowledge distillation.
- Familiarity with AI frameworks such as PyTorch and TensorFlow Lite.
- Understanding of microcontrollers and edge hardware acceleration.
- Knowledge of signal processing techniques.
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