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Updated 2022-11-29
Activated 2022-11-22

AI engineer / machine learning
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  • Recruiter
  • Entry Level
  • Work-Life Balance
  • More Than 120 Days off per Year
  • New Year's Holidays
  • Five Days Workweek
  • Language Skills
  • Urgent Hiring
  • Overseas Applications Welcome
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This posting is managed by: iHOLON Co.,Ltd
Company Name Company is not publicly visible
Job Type
iHOLON Co.,Ltd
IT (Other) - Machine Learning/AI Engineer
IT (Other) - Data Analyst/Data Scientist
IT (Other) - IoT Engineer
Location Asia Japan Tokyo
Asia Japan Kanagawa
Job Description You will be in charge of data analysis work using machine learning technology.

● Focus points
Fields related to AI.
Data analysis using machine learning, especially deep learning
Natural language analysis using topic model analysis, etc.

● Step-up example
Those who want to acquire data analysis skills using machine learning
1 year after joining the company: For senior engineers, in charge of auxiliary work such as pre-processing of data analysis and parameter tuning
2 years after joining the company: In charge of first-person work from analysis program implementation to data analysis

● Details of the project ①
Farmer's vegetable growing support:
Fruit ripeness, stem and leaf health, presence of pests, etc.
Use deep learning to determine the growing status of vegetables.
Python, Chainer, OpenCV are used as technical elements.

● Project details ②
Performance prediction of processed products:
By combining raw materials, the quality of the processed products produced is predicted using deep learning.
This will improve the efficiency of product research and development work.
Use Python, TensorFlow, Keras as technical elements.

● Project details ③
Idol group blog analysis:
We will grasp the characteristics of a specific idol's blog by natural language analysis, and analyze what kind of blog (sentence) should be posted and what kind of fan base can be gathered.
As a technical element, Python, topic model analysis is used.

● Matter content ④
World Cup, Olympic ratings forecast:
Predict the audience rating from the past audience rating, program name, time zone, station name, etc.
Based on this result, we recommend the broadcasting rights of the game with the highest audience rating.
Python, scikit-learn is used as a technical element.
Company Info Our focus, the challenge to AI engineers, is an opportunity to significantly increase your market value.
Given the high growth potential of the company, we have decided to significantly increase the number of employees by May 2020 as an area of particular focus for the company. In the future, young inexperienced people such as new graduates will be assigned, so we are looking for core human resources who can lead technically.
Working Hours 09: 30-18: 00
Qualifications ①
For those who have experience in data analysis work.

・ More than 1 year of work experience in data analysis using statistics or machine learning

Qualifications ②
For those who have no experience in data analysis work.
From now on, those who want to challenge the field of data analysis are targeted.

・ More than 1 year of work experience in web system and application development
Or, one year or more of work experience in Web system operation and maintenance
・ More than 1 year of work experience in Python
・ More than 1 year of work experience on Linux and Unix
・ More than 1 year of work experience using SQL
・ Practical data analysis self-development learning
(Practice of analysis by actual data and statistics and machine learning as well as classroom lectures)

Welcome / affirmative
Qualifications ①
For those who have experience in data analysis work.

・ Practical experience in Python
・ Practical experience using deep learning
・ Practical experience with TensorFlow, Keras, Chainer, scikit-learn framework
・ Experience in building data analysis infrastructure on cloud services
・ Data processing experience by SQL

Qualifications ②
For those who have no experience in data analysis work.
From now on, those who want to challenge the field of data analysis are targeted.

・ Basic knowledge of statistics
・ Basic knowledge of machine learning and deep learning
・ Basic knowledge of frameworks such as TensorFlow, Keras, Chainer, scikit-learn
English Level None
Japanese Level Business Level(JLPT Level 2 or N2)
Salary JPY - Japanese Yen JPY 3500K - JPY 9000K   
Other Salary
3.5 million yen to 9 million yen

Complete with social insurance
Full transportation expenses
Holidays Complete weekly two-day system (Saturdays, Sundays, and holidays)
paid holiday
Condolence leave
Childcare leave
Refresh vacation
Summer vacation
Job Contract
full-time employee
Nearest Station Tokyo
Kanagawa Prefecture

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AI engineer / machine learning