All for the best recruitment
1. Support with hospitality
We have a meeting, listen to what kind of people you need carefully, and introduce candidates. Since the market holds too many jobs and smaller numbers of job seekers now in Japan, we advise you on what kind of recruitment, interviews, conditions, and recruitment methods are good to attract good candidates.
2. Global talents from all over the world
We introduce talented people from all over the world. We introduce those who have studied at the University of Tokyo, Tokyo Institute of Technology, Waseda, Keio, National Universities or top universities overseas, and who have a solid understanding of Japanese culture and knowledge from their home countries. There are many people who are fluent in Japanese and we introduce those who want to live in Japan for a long time.
3. Job description to attract many candidates
We make job descriptions while giving advice on what points look attractive to candidates. Companies often cannot notice what points candidates care about. For example, details about job tasks are necessary to attract candidates. We help companies make good job descriptions.
4. Support for the visa
There are a lot of concerns, especially if you hire foreign nationals for the first time. The major difference from Japanese recruitment is change of the visa.
We also support change of the visa
Service Flow
1. Receive an inquiry from you.
2. Meeting to hear what kind of candidates you look for.
3. Make a job description to reach out lots of candidates
4. Recommend
candidates to you and set up the interviews.
5. Provide the offer to the candidate.
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#1424 [AI issuance and book distribution optimization solution business] MLOps engineer
This position is available only for people residing in Japan. [Company Profile] It is a company established by major trading companies and major publishing companies with the aim of reforming the distribution of Japanese publications to a sustainable one by utilizing DX. By utilizing various data used in the publishing world in a longitudinal, cross-sectional, and comprehensive manner, and furthermore, by utilizing an “AI model” that fits the different sales characteristics of each title, they will evolve their services. They aim to reduce the book return rate, which is one of the structural issues facing the industry, and improve the efficiency of the entire industry supply chain.
![#1424 [AI issuance and book distribution optimization solution business] MLOps engineer](https://static.wixstatic.com/media/11062b_dceb76ff153e4164837f85c25bb2effe~mv2.jpeg/v1/fill/w_980,h_654,al_c,q_85,usm_0.66_1.00_0.01,enc_auto/11062b_dceb76ff153e4164837f85c25bb2effe~mv2.jpeg)
Summary
Posted on: February 13, 2023
Tokyo｜Permanent｜¥6M〜12M
Job
This position is available only for people residing in Japan.
[Company Profile]
It is a company established by major trading companies and major publishing companies with the aim of reforming the distribution of Japanese publications to a sustainable one by utilizing DX.
By utilizing various data used in the publishing world in a longitudinal, cross-sectional, and comprehensive manner, and furthermore, by utilizing an “AI model” that fits the different sales characteristics of each title, they will evolve their services. They aim to reduce the book return rate, which is one of the structural issues facing the industry, and improve the efficiency of the entire industry supply chain.
[Background of recruitment]
For business expansion (The business headquarters aims to expand to a scale of 50 or more in the future.)
［Development environment］
Development language : Python
Framework : Apache Airflow
Infrastructure : Terraform
Container technology : Docker
GCP : Cloud Composer, Cloud Run, Cloud Functions, Big Query
[Requirements]
・Required Japanese proficiency: advanced to native level
・Web service or application development experience
・Experience developing system infrastructure in projects related to AI and data utilization
・Understanding of data processing and AI algorithm processing pipelines, and understanding of computing costs
・Experience in designing and developing MLOps systems, such as AI models and data management, with a view to MLOps
・Experience using cloud such as GCP, AWS, Azure
・API design and development experience
[Preferred requirements]
・Experience building machine learning services and data infrastructure
・Basic knowledge of machine learning/statistics
・Experience developing and operating actual services using machine learning
・Knowledge and strong interest in the latest trends in the field of machine learning
[Conditions]
Employment Type: Permanent
Trial period: 3months
Estimated annual income: ¥6M～12M
Work location: Tokyo（Remote work 2-3 days a week）
Working hours: 9:00～17:30 (7.5h) Break time 1h
Holidays: 2 days a week (Saturdays and Sundays), national holidays, 120 days off per year
Vacation: Summer vacation, year-end and New Year holidays, and other vacations available
Overtime: Average 30 hour / month
Benefits: Complete social insurance, commuting allowance (according to company regulations), and other benefits
[About selection]
Documents required for application: resume, resume of work (English resume is okay)
Online interview: Available
Interview language: Japanese
Number of interviews (flow): 3 times (1st/2nd interviews can be done online, the final interview will be held offline)
Application for overseas residents: Available
* May change depending on the situation of the candidate