Machine learning engineer
株式会社ZENKIGEN
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Tokyo, Kanagawa
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11 to 100
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Company Homepage
Company Info
ZENKIGEN proposes visualization and improvement of human resources issues, and is developing a unique 'cognitive revolution AI analysis' in Japan. We are exhibiting a series of 1on1 improvement support AI 'harutaka' and 'revii' for providing consistent support from AI development to improvement.Job Summary
As a recruitment for machine learning engineers, we are actively engaged in the development of analysis technology for a large amount of motion data, and are actively engaged in the development of DX projects and new businesses, as well as collaborating with research and development teams. In addition, by collaborating on project development in the team, we will contribute to the growth of business by providing new value in new business areas.Duties
As a machine learning engineer, we are actively engaged in the development of analysis technology for a large amount of motion data that the company maintains, and are actively engaged in the application of deep learning technology to analyze human emotions and feelings from images. In addition, we are actively engaged in practical experience of AI project development, and it is also possible to be involved in solving social issues and creating new services through the application and construction of new AI applications. Furthermore, we are actively engaged in research and development to solve social issues and create new services, and are actively applying machine learning technology to create new value.
Requirements
・Practical experience in the application of deep learning technology (experience in studying PyTorch/Tensorflow and practical experience) ・Interest in the characteristics of issues related to machine learning technology and the ability to apply technology to solve issues and implement them in society ・Knowledge and practical experience of Github
Welcomed Skills
・Expertise in CV/Sound processing/NLP using Deeplearning ・Experience in research papers in the field of machine learning/engineering / international conference presentations ・Practical experience of winning prizes in machine learning competitions such as Kaggle ・Application/construction experience of AI applications (MLOps) ・Practical experience of AI project development