Responsibilities:
1.Developing edge side CPU and NPU based time series data type for anomaly detection, classification and regression AI/ML unified toolchain. Developing and productize the customer needs into competitive solutions
2.Self-driving to successfully develop and bring new AI/ML designed products into market
3.Closely work with AI/ML algorithm mentors for algorithm research and benchmark testing which is essential for algorithm optimization
Requirements:
1.Master's degree ( Or Bachelor ), major in mathematics, electronic engineering , computer science or relevant disciplines
2.Familiar with C/C++ and Python programming with real coding experiences
3.Have strong interest for AI/ML algorithm research and equipped with essential knowledge for classical machine learning. Especially for time series algorithm research, Paper publication will be highly appreciated
4.Familiar with deep learning and at least familiar with one training framework like TensorFlow, Pytorch etc is a good plus
5.Family with Electron and JavaScript front end development is a good plus
6.Good communication skills and fluent English for both speaking and listening is a good plus
7.Good sense of team work and skilled for communication to keep well tracking the delivery process