181

11/15/2024

Minato-ku, Aoyama, Tokyo

Only residents of Japan

Base salary: 230,000 yen or more + various allowances (position allowance, role allowance, sales allowance, overtime allowance, etc.) *Salary will be determined based on experience and abilities in accordance with company regulations. ＿＿＿＿＿＿＿＿＿＿ (Annual income examples) ■Annual income of 4.5 million yen (240,000 yen/month + bonuses, etc.) (Member) ■Annual income of 5.5 million yen (300,000 yen/month + bonuses, etc.) (Project Leader) ■Annual income of 6.5 million yen (370,000 yen/month + bonuses, etc.) (Project Manager) ■Annual income of 7.3 million yen (500,000 yen/month + bonuses, etc.) (Service Manager) ■Annual income of 10 million yen (740,000 yen/month + bonuses, etc.) (Producer) ＿＿＿＿＿＿＿＿＿＿

JPY 230,000

You will be entrusted with consistent development from the upstream stage in a specialized team for AI and machine learning technologies.
We will propose and implement AI and machine learning solutions to clients facing various business challenges.
The key is to identify the real problems, understand what can be achieved with AI and machine learning, and what can be done by humans. We will engage in dialogue with the client to explore and execute the best plan.

Job Responsibilities

Hearing issues from clients
Research and analysis of client issues, consideration of themes
Selection and examination of technical methods
Client proposals
Specification review and system design for implementation
Machine learning model development (design, implementation, testing, algorithm review)
Review and processing of training data
Accuracy analysis, verification, and tuning
As we handle upstream processes, we will assign tasks based on your area of expertise and experience.
Example Projects

Building quality improvement methods using sensor data and image data in manufacturing
Developing systems for business efficiency in the construction industry using AI (image recognition and image processing technologies)
Analyzing and building predictive models using big data from movement or human flow, etc., with a focus on the data science field and system construction utilizing it
Due to high confidentiality, descriptions will be abstract.
About the Team
We have a collaborative development structure across multiple locations in Tokyo, Aichi, and Osaka, which allows us to execute projects regardless of client industry or location. This flexibility is one of our strengths.

Required Skills:

Practical experience in web system development
Practical experience in machine learning and deep learning

Preferred Skills:

English reading comprehension skills (for acquiring technical information, reading research papers, etc.)
Experience in development using open source technologies
Experience in organizing client requirements or serving as an architect in system development
Leadership experience in projects

IT (Other)

N2

9:00 AM – 5:30 PM, with a break from 12:00 PM – 1:00 PM (7.5 hours of work) The work schedule may change if the location is at a client company (either the client company or the site where the contracted project is carried out).

Twice a year (in June and December)

osition allowance, role allowance, job allowance
Overtime pay, night shift pay, statutory holiday work pay
Commuting allowance and other various allowances
Each allowance is provided based on individual roles and circumstances.

Annual Holidays: 120 days or more

Fully 2-day weekends (Saturday, Sunday, and holidays)
New Year's holidays (12/30–1/4)
Annual paid leave
Marriage leave
Bereavement leave
Jury duty special leave
Accident leave
Relocation leave
Maternity leave
Parental and caregiving leave
Nursing leave
Challenge leave (1 week of special leave every 5 years of service)
The schedule may change if the workplace is at a client company (either the client company or the site where the contracted project is carried out).
Encouragement of Paid Leave

HAPPY HOLIDAY leave (up to 9 consecutive days off, including weekends)
MY DAY leave (birthday month)
My Care Day (health check-up day)

Benefits and Welfare

Comprehensive social insurance (employment, workers' compensation, health, nursing care, and employee pension)
Regular health check-ups (once a year)
Award system (once a year)
Retirement allowance system (for employees with 3 or more years of service)
Life support course usage system (working styles with time or location restrictions)
Dream support system (leave or partial work system to support personal dreams, with course options)
DO・CO・DE・MO work style system (e.g., remote offices)
Various insurance group offerings
Employee stock ownership plan, savings plan, and financial systems
Benefit One (various service discount systems)
Cafeteria points (selective welfare system):
└ Annual allowance of 120,000–180,000 yen worth of points based on rank
└ You can choose from menus like healthcare and home support
└ Housing allowance: My Home Support provides monthly assistance (10,000–15,000 yen) for self-owned or personally rented homes, depending on job functions
└ Cafeteria points are also granted for obtaining certain qualifications (labor, management, law, language, finance, IT, etc.) or for self-development activities like TOEIC, supporting skill development.

None

Skill Development System English Gateway (online learning system) Skill development support (various training programs, qualification acquisition support, book purchase subsidies) └ Hands-on training with actual devices └ eLearning content, etc. Open position system Challenge Day (open recruitment system for new businesses, etc.)

▼ Application ▼ Document screening ▼ Interview (1–2 times) ▼ Aptitude test (taken at home) ▼ Final interview ▼ Job offer The process from application to job offer takes approximately 2–4 weeks. Interviews are conducted online or at the Tokyo headquarters or other branches. (The final interview is held at the Tokyo headquarters.) We will consider your preferred interview date and start date, so feel free to consult with us.

Standard interview

Possible

Probationary period: 3 months Annual paid leave and special leave will be granted after the probationary period is completed.

Business Division Policy A division that supports customers' digital transformation (DX) From planning customers' DX strategies to implementing the necessary technology elements, as well as introducing our own unique technologies and services, all in a seamless process. Recruitment Background In addition to promoting customers' DX, we are receiving numerous inquiries for development projects related to solving challenges we ourselves face. To meet these expectations, we are strengthening our team and recruiting additional members. AI / Data utilization Cloud environment construction Front-end / Back-end development Native app development We are particularly looking for specialists in AI and machine learning technologies who are passionate about this field.

Skills and Technologies You Can Acquire Through the Work Skills to understand the essence of challenges Understanding the optimal combination of AI technologies and human tasks Communication skills with customers Utilizing the latest technologies by referring to technical papers and other resources Career Paths You Can Aim for Based on Position Experience AI Engineer ML Specialist AI Consultant