What is an embedded TinyML engineer?

Embedded TinyML engineers specialize in developing and deploying machine learning models that run directly on small, resource-constrained embedded devices, such as microcontrollers and IoT sensors. Their work involves optimizing neural networks to ensure efficient performance with limited memory, power, and computational capacity. These engineers bridge the gap between embedded systems and AI, enabling smart features in everyday devices without the need for cloud connectivity.