Machine Learning Developer

Hacarus Inc.

Kyōto-shi, Japan
Japan, 〒604-8206 Kyōto-fu, Kyōto-shi, Nakagyō-ku, Machigashirachō, 112, 菊三ビル
Kyōto-shi
Kyōto-fu
Japan
Japan
TELECOMMUTE
Toàn thời gianFULL_TIME

Đã hết hạn 7 years ago

2017-07-28T16:00:00+00:00

Công việc đã đóng.

Miêu Tả Về Công Việc

As a Machine Learning Engineer, you will develop various functionalities using machine learning algorythm to provide excellent experience in our healthcare service. You are also supposed to build and maintain data engineering platform to collect and store required information for machine learning system.

Working in a cross-functional scrum team with the Project Manager and BackEnd Engineers, you will work on product requirements and software concepts and actively create the next generation of our machine learning system.

Trình độ tối thiểu

Experience of AWS or other cloud services would be a plus.
Over 3 years experience in building application using machine learning algorythm.
Good knowledge of numerical and scientific computation with Python and popular machine learning libraries.
Your written and spoken English is excellent.

Đặc quyền và lợi ích

Medical / Health Insurance
Paid Holidays
Work from Home

Khác

Reimbursement for conference, book and technical training fees

Khóa học ưa thích

Information Technology

Tóm tắt công việc

Trình Độ Công Việc: Phó Giám Sát/Giám Sát

Ngành Nghề: IT and Software

Yêu cầu học vấn: Tốt nghiệp Cử nhân

Nhà tuyển dụng trả lời hồ sơ: Sometimes

Địa chỉ văn phòng: Kikusan Bldg. 3F Room 302 112 Machigashiracho Nakagyo-ku, Kyoto-shi, Kyoto, Japan

Ngành nghề: Information Technology / IT

Vị trí đang tuyển: 1 vị trí tuyển dụng mới

Trang web: http://hacarus.com

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Về Hacarus Inc.

Hacarus started out in 2014 as a healthcare AI venture, with a mission to achieve health and a long life through a nutritious diet. From the beginning, we used AI technology (artificial intelligence) to optimize food and nutrition balance on an individual level. Our main differentiation is our Sparse Modeling methodology, which works efficiently with small amounts of data. That’s why we call our approach Small Data AI. We believe that, in the long term, increasing the availability of proprietary technologies helps to advance the human condition, reducing poverty and inequality in the world. Distributing our Sparse Modeling AI to firms creates greater efficiency and productivity in society. In practicality, this translates to being able to better diagnose diseases, learn useful medical insights, and bring cheaper products to consumers through efficient manufacturing practices. Looking to the future, we plan to extend our technology to an even greater number of sectors and applications to aid in making human lives healthier and longer.

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