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Basic Information
Client ID: 106000
Job ID: 1056
Position: Technical Solution Engineer (TSE)
Location: Tokyo (Partially Remote)
Salary: 6M TBA
Language: English Japanese (someone willing to learn preferred)
Contract type: Permanent
Who we are
- English here
It is a company that aims to provide the best solutions for companies to solve their problems using advanced technologies especially deep learning and machine learning technologies and make a positive impact on society. We provide comprehensive services ranging from consulting to demonstration testing and solution development for companies with such concerns and already have a proven track record in a variety of areas.
Our clients are both large and small companies and we focus on projects that have high value in terms of technological advancement and the business impact and social significance of the solution.
We are looking forward to working with people who want to propose machine learning and deep learning technologies as practical solutions people who want to research and implement the latest papers people who want to balance research and practical work and people who enjoy discussions among professionals of various genres.
Roles and Responsibility
TSETechnical Solution Engineer
- JAXABCGDX
- Big TechMetaGoogleAmazon
- 55
- English here
As an engineer you will be responsible for eliciting and understanding the clients business challenges and devising proposing consensus building implementing and leading the delivery of the most appropriate technology for them while understanding cuttingedge technologies such as machine learning/deep learning/optimization.
The following people are suitable for TSE (Technical Solution Engineer)!
- People who are focused on social issues and their impact on society and who are motivated by the success of their projects
- Enjoy discussing and solving difficult problems as a team.
Attractiveness of the company
- You can experience essential DX projects with leading companies in the industry (Toyota Nissan JAXA BCG etc.) to solve industry and business issues
- Become a fusion talent with strengths in both business and technology
- You can grow. In fact Alumni are growing and going to Big Tech companies (Meta Google Amazon etc.)
- You can experience working in a multinational and multicultural environment with a high percentage of global engineers (about 55%). You can improve your English skills in the project
- You will be able to use cuttingedge digital tools and technologies in your work
We are a company that takes solving social issues and ethical behavior seriously. Every employee who has joined the company so far has said that they like the people they work with!
Minimum Requirements
- English here
- Ability to catch up with new technologies and new areas of experience with a sense of urgency
- Ability to make hypotheses based on limited information and move things forward even in uncertain situations
- Ability to communicate based on logical thinking
- Ability to write and present difficult issues in an easytounderstand manner
Preferred Requirements
- MLOps
- English here
- Machine learning/deep learning/optimization development experience
- Experience managing machine learning/deep learning/optimization projects
- Experience in designing developing and operating MLOps systems in onpremise/cloud environments
- Experience in project management that includes external vendors in the team
Who we are looking for
DX/AI
Conditions / Benefits
Employment type:Full time
Location:Tokyo Chiyodaku Otemachi
The building is directly connected to Otemachi Station on the Marunouchi line (Exit C7 E2)
5 minute walk from Tokyo Station (JR Yamanote or JR Keihin Tohoku line)
Annual Salary:6M TBA JPY (based on experience and skills )
Annual salary system (1/12 of the annual salary is paid monthly) Above includes 45 hours of overtime (additional overtime will be paid separately)
Salary review once a year (there are many cases of salary increases for high performance in just 6 months upon joining the company)
Bonus twice a year (January and July)
Hours:9:30 18:30 (standard working hours: 8 hours)
General office hours: 9:30 18:30
Flexible working hours during probation
Core time: 10:30 16:30
Flexible time: (start) 7:30 10:30
(end) 16:30 20:30
Breaktime: 1 hour between 11:00 16:00
Two days off per week (Saturdays and Sundays)
National Holidays
Yearend and New Year holidays (December 28 January 4)
Refreshment leave (5 days after 1 year of employment)
Paid Holidays: 10 days of paid leave amount depends on the years of employment
Before annual paid leave is granted (6 months after joining the company) 3 days of special leave granted upon joining
Probation:6 months
Benefits:
Full social insurance (employment insurance workers accident compensation insurance health insurance: Kanto IT Software Health Insurance Association membership employee pension)
All transportation expenses are paid
Overtime allowance
Casual clothing is welcome
Telework consultation (frequency of attendance varies depending on the department and duties)
Other benefits
Support for the acquisition of qualifications (book purchase and seminar participation fees)
Subsidies for use of the gymnasium near the office
Acupuncture treatment in the office
Professional counseling services
Interview Process
- CV Screening
- Technical Test
- 1st interview
- 2nd Interview
- Last Interview
- Offer
Remote Work :
No
