Basic Information

Client ID: 119000

Job ID: 1219

Position:

Location: Tokyo

Salary: 4.5M 8M JPY

Language: English (Conversational) Japanese (Business level)

Contract type: Permanent

Who we are

BCGCEOCTO2016AIDX AI2AI AI

• English here

  We are an AI venture founded in 2016 by a CEO and CTO from BCG. With the mission of creating a new vision for all industries and connecting technology and business the company uses machine learning technology to solve problems jointly develop technologies and support new businesses and companywide DX promotion for core processes that are particularly unique and profitable in the business processes of client companies. We also provide support for new businesses and companywide DX promotion. Specifically we develop and provide tailormade custom AI that solves issues that are difficult to solve with generalpurpose or packaged products armed with the two axes of cuttingedge machine learning technology emanating from academia and understanding of business sites and the knowledge and knowhow of AI implementation there. Our unique feature among many AI ventures is that we focus on new business and research and development products for application to services for our client companies. We work on many projects that create new value that does not currently exist and that are difficult to achieve with current efficiency and standardized solutions.

Roles and Responsibility

PoC() /PoC

/

AI / AI

• English here

  Due to the increasing number of projects involving the entire process from Proof of Concept (PoC) to full development (system production deployment) we are establishing a new development engineering team. Collaborating with our solution designers machine learning engineers and external partner companies you will drive the development of systems and services using machine learning. Specifically you will be responsible for the endtoend phases including requirements definition design development testing and operation leading up to the full deployment after the PoC.
  

  Job Responsibilities

  • Taking a leading role in the development of systems/services using machine learning
  • Deploying machine learning models implemented by machine learning engineers onto the system. Even if you dont have prior knowledge of machine learning at the time of joining you can catch up after joining.
  • Providing support for improving machine learning models from an operational perspective
  • Establishing the system development engineering team
    

  Attractions of this Position

  • Involvement in machine learning system development even with limited knowledge and experience in machine learning
  • Driving innovation with AI
  • Contributing to truly businessuseful machine learning system development not just in name
  • Solving business challenges in various industries using machine learning systems
  • Involvement in all stages of development from design to testing
  • Participation in development using various cloud services
  • Involvement in establishing a new engineering organization in a growing AI startup

Minimum Requirements

3()
Java Ruby on Rails PHP Go Python Rust
GitHubGitLab
(AWS/GCP/Azure)
IT

• English here
  • Over 3 years of experience in system (backend) development
  • Backend development experience using Java Ruby on Rails PHP Go Python Rust or similar technologies
  • Experience in code management using GitHub or GitLab
  • System development experience utilizing cloud platforms (AWS/GCP/Azure)
  • IT literacy at the level of a basic information processing engineer

Preferred Requirements

Python


()

RDB


:
MLOps

• English here
  • Coding skills in Python
  • Experience in project management
  • Endtoend experience from system requirements definition to design implementation testing and operation
  • Infrastructure design and construction skills (both onpremises and cloud)
  • Experience in architecting systems that ensure availability costeffectiveness and security
  • RDB design and construction skills
  • Experience in frontend development
  • Experience in objectoriented design
  • Interest and basic knowledge in machine learning e.g. understanding the concepts of supervised and unsupervised learning
  • Experience in MLOps (Machine Learning Operations)

The kind of person we are looking for

• English here
  • Interested in machine learning technology
  • Curiosity and eagerness to explore new technologies
  • Values teamwork and can progress tasks while communicating with team members
  • Possesses a broad perspective and can proactively take action beyond ones own scope of work
  • Approaches tasks with a business problemsolving mindset and can carry out responsibilities without being bound by preconceptions

Conditions / Benefits

Employment type: Full time

Location: Ginza Chuoku Tokyo

Nearest stations: Ginza Shinbashi Higashiginza Tsukiji Market

Annual Salary:JPY Determined based on skills experience and ability Bonus : twice a year (varies according to individual performance and company performance)

Overtime allowance

Hours: 09:45 18:30 (1 hour break included)

Flextime system available (No core time)

Full remote work available

Two days off per week (Saturdays and Sundays)

National holidays

Yearend and New Year holiday

Celebration or condolence leave

Paid leave

4 days during probationary period and 10 days after completion of probationary period (reduced depending on the month of joining based on April 1)

Probation: 3 months

Benefits:

• Various social insurances (employment/workers accident compensation/health/employees pension)
• Transportation expenses paid (full amount)
• Remote work allowance: 10000 yen per month (subject to conditions)
• Remote work environment construction fee/30000 yen (conditions apply)
• Regular health checkups
• Subsidy for attending seminars
• Subsidy for purchasing books
• Notebook PC monitor provided
• Free drinks
• Subsidized twicemonthly friendship lunches
• Internal club activity
• Services provided by Kanto IT Software Health Insurance Association
• Second job available (prior request)

Interview Process

1. CV Screening
2. 12 interviews
3. Final Interview
4. Offer

Remote Work :

No