Description

We are looking for a skilled professional to help us deploy a TensorFlow Lite model in an Arduino device. Your responsibilities will include deploying a ready-to-use TensorFlow Lite model into the Arduino device (Nano 33 Sense BLE Rev 2) by using tensorflow-lite libraries. The successful candidate should be experienced in Arduino programming, and have a strong understanding of deploying machine learning models in resource-constrained environments. An understanding of microcontrollers and embedded systems is also required.

The model is for signal processing. The input of the model is an array with 800 samples, and the output of the model is also an array of 800 samples.