Principle Engineer in Artificial Intelligence

As a suitable candidate for this role, you should possess a Master's degree in Computer Science or Electrical Engineering, preferably with 8 years of experience in conducting research within the realm of Artificial Intelligence and Machine Learning/Neural Networks. It is important that you have a proven track record of publishing IP/Patents and papers in renowned conferences focusing on Computer Vision, Natural Language Understanding (NLU), and Expert Systems. Your experience should also include developing solutions for challenges in the Audio and Image domains using Machine Learning techniques. Additionally, you should be adept at implementing machine learning components on edge devices and be familiar with optimizing these components at the device level. In this role, you will be required to lead a team of highly motivated individuals, providing guidance throughout the various stages of the research process. Your ability to translate high-level details into concrete plans and approaches for solution development will be crucial for the success of the team. Qualifications Required: - Master's degree in Computer Science or Electrical Engineering - Minimum 8 years of experience in research related to Artificial Intelligence and Machine Learning/Neural Networks - Proven track record of publishing IP/Patents and papers in conferences related to Computer Vision, NLU, and Expert Systems Kindly note that the General Requirements for this role include a preference for a Master's degree in Computer Science or Electrical Engineering, along with 8 years of experience in research focused on Artificial Intelligence and Machine Learning/Neural Networks. It is also essential to have a history of publishing IP/Patents and papers in leading conferences related to Computer Vision, NLU, and Expert Systems, as well as experience in developing solutions for challenges in the Audio and Image domains using Machine Learning techniques. Additionally, familiarity with delivering machine learning components on edge devices and the ability to lead and guide a research team are key aspects of this role.,