• Creativity in new ideas and future focus vision.
• Collaboration with colleagues and the community at large.
• Work Smart, Play Smart!

• Study the AI technology trends and applications for industries, especially the manufacturing industry, so as to identify the potential solutions for industries’ productivity improvement and upgrading
• Propose and evaluate technical ideas with other functional units so as to design a suitable solution on order prediction, RPA, PHM, fault diagnosis, quality forecast and so on against the requirements and demands
• Define the technical development roadmap of AI technology applications so as to work out the R&D tasks and implementation plan
• Be responsible for the development and optimization of the industrial AI and machine learning algorithms of the specific application fields
• Assist project lead to carry out R&D tasks against the plans and complete the projects (including R&D work, project documents, technical report and paper, patents, etc.) as scheduled with high standard
• Build up and maintain a good network with other professional organization so as to acquire new technologies and create synergy

• Bachelor or above Degree in Computer Science, Mathematics, Statistics, Intelligent Systems, related disciplines or equivalent
• At least 2 years hands-on experience in data analysis with actual users
• Understanding on AI and machine learning framework, such as Tensorflow, Py Torch, Pandas, Scikit-learn, etc., and experience in Node JS, Java Script, Python, R or similar languages
• Knowledge of Linux and cloud application, such as Azure, AWS and GCP an advantage
• Good writing, presentation, communication and analytical skills
• Passionate, self-motivated, and able to work independently and meet tight deadlines
• Applicants may be considered for other positions if not matching the requirements of the subject position

• Exciting new technology development (e.g. Io T, 5G, Lo RA, AI etc.) to actualize your creative ideas
• Opportunities to work with our innovative and vibrant talents
• Embracing work flexibility (including Flexi-work hour)
• Dynamic and energetic culture with smart outfits and sport shoes