Responsibilities:

• Design, develop, and deploy machine learning algorithms and models on embedded systems;
• Implement deep understanding of both machine learning techniques and embedded system constraints, including hardware limitations and real-time processing requirements.

Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. A Ph.D. is a plus;
• Minimum of 3 years of experience in machine learning, with a focus on embedded systems. Proven track record of deploying machine learning models on embedded platforms.

 

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