Hacarus Inc.
Hacarus Inc.

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
  • Full timeFULL_TIME

Expired 7 years ago

2017-07-28T16:00:00+00:00
Job closed.

Job Description

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.

Minimum Qualifications

  • 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.

Perks and Benefits

  • Medical / Health InsuranceMedical / Health Insurance
  • Paid HolidaysPaid Holidays
  • Work from HomeWork from Home

Other

Reimbursement for conference, book and technical training fees

Preferred Courses

  • Information Technology

Jobs Summary

Job Level
Associate / Supervisor
Job Category
IT and Software
Educational Requirement
Bachelor's degree graduate
Recruiter response to application
Sometimes
Office Address
Kikusan Bldg. 3F Room 302 112 Machigashiracho Nakagyo-ku, Kyoto-shi, Kyoto, Japan
Industry
Information Technology / IT
Vacancy
1 opening
Website
http://hacarus.com

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About 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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