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Embedded AI Engineer Valeo

5.0 - 7.0 years

0 Lacs

chennai, tamil nadu, india

On-site

Responsibilities : Deep Learning Model Conversion: Convert and adapt deep learning network architectures (e.g., from PyTorch) for deployment on various embedded platforms. Quantization-Aware Training (QAT): Implement and fine-tune Quantization-Aware Training techniques to optimize model performance and reduce memory footprint while maintaining accuracy. Model Optimization: Perform extensive model optimization techniques, including pruning, quantization (post-training and QAT), and network architecture search, to achieve desired latency, power, and memory targets. Runtime Integration: Integrate optimized deep learning models with embedded runtime environments and hardware accelerators. Perfor...

Posted 1 month ago

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