Machine Learning Optimization Engineer H/F

This position offers a high level of interaction with other AI development teams, and support entities within the group.

The ideal candidate will have a solid experience of running Machine Learning trainings and validation, as well as setting up the tools implied in the associated workflows, Basic Qualification- Master of Science in Applied Physics, Math, Computer Science, Electrical/Computer/Automation Engineering, or related Engineering field.- Engineering School- Machine learning, deep neural networks infrastructure knowledge, inference engine knowledge- Proficient in Python, C++- Good communication skills in English languagePreferred Qualification- Sound knowledge of at least one deep learning framework such as Tensorflow, Pytorch- Knowledge or prior experience in deep learning networks optimization (Quantization, pruning, ...)- Knowledge of embedded computing, compiling and running code on embedded target systems., Master of Science in Applied Physics, Math, Computer Science, Electrical/Computer/Automation Engineering, or related Engineering field.

• Engineering School
• Machine learning, deep neural networks infrastructure knowledge, inference engine knowledge
• Proficient in Python, C++
• Good communication skills in English language

Preferred Qualification

• Sound knowledge of at least one deep learning framework such as Tensorflow, Pytorch
• Knowledge or prior experience in deep learning networks optimization (Quantization, pruning, ...)
• Knowledge of embedded computing, compiling and running code on embedded target systems.