Creative Tech | Edge AI Engineer

• Compressing AI models to fit on resource-constrained devices using techniques like quantization, pruning, and architecture refinement;
• Deploying models onto edge hardware (e.g., NVIDIA Jetson, Raspberry Pi) and maximizing performance;
• Creating efficient algorithms for immediate on-device analyticsM
• Programming in low-level languages to ensure high performance and low power consumption.

• Bachelor's degree in Computer Science, Engineering, or a related field;
• Proficient in Python and C/C++;
• Familiarity with TensorFlow Lite, PyTorch, ONNX or Edge Impulse;
• Experience with microcontrollers, DSPs, and AI accelerators;
• Model quantization, pruning, and knowledge distillation;
• Good level of English written and spoken.

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