ML Model Development Engineer (MMDE-2601)

Develop and pioneer novel techniques for model compression to reduce computational complexity and memory footprint maintaining high model performance. Implement machine learning models, handle end-to-end development, from data preprocessing to model training and evaluation. Improve existing machine learning models by exploring new algorithms, fine-tuning parameters, and integrating the research findings. Prototype and iterate on different model designs, experimenting with various architectures and techniques to identify optimal solutions. Implement efficient and optimized code to ensure fast and reliable model inference on our new hardware platform.