Machine Learning Expert | TinyML Flame sensor project | Remote | 3 Months

My client is seeking a highly skilled and experienced engineer to join their team as a Machine Learning Expert.

In this role, you will be responsible for contributing to the development of their TinyML-based flame sensor project. This project aims to utilize machine learning algorithms to enhance the accuracy and efficiency of flame detection in various environments.

Key Responsibilities:

- Utilize expertise in Google Colab to support the training process of machine learning models.
- Demonstrate proficiency in TensorFlow Lite to develop and optimize neural network structures for the flame sensor project.
- Select appropriate neural network types and architectures to achieve optimal performance.
- Assist with data preparation for training purposes, ensuring high-quality datasets for model development.
- Collaborate with the team to optimize network structures and parameters for enhanced performance and efficiency.
- Convert TensorFlow models to TensorFlow Lite (TinyML) format for deployment on edge devices.
- Support the implementation of TensorFlow Lite models on edge devices, including ARM-based platforms.
- English language required, German is a plus

This is a fully remote position, 3 months contract.

Interviews are set to take place within the next 2 weeks, so if you are interested apply now!