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【年収1200万円】Senior AI Developer (Full Remote)

Role overview

Qualifications

  • Business-level Japanese (JLPT N2) and conversational English to communicate with global team members and engineers
  • Strong proficiency in Python with data science libraries (Pandas, NumPy, etc.)
  • Practical experience using machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
  • Bachelor’s degree or higher in Computer Science, Information Engineering, or a related STEM field

Responsibilities

  • Define business problems with product and domain experts, design ML architectures, train models, and build deployment pipelines; own the full ML lifecycle from problem framing to monitoring
  • Develop end-to-end AI solutions that are deployed in production environments used by professionals nationwide
  • Collaborate with top-tier global engineering leaders (CTO, VP-level, senior architects) and cross-functional teams in a modern development environment
  • Build core technology from the ground up as part of an in-house digital and product development organization transforming the construction industry

About the company

GAIDOOR RECRUIT logo

GAIDOOR RECRUIT

Staffing & Recruiting

A Recruitment Service build to be a Connection Door between High Level Talents and companies based in Japan. 有料職業紹介事業 許可番号 (Recruitment License) 13-ユ-312626

Company details

Company typeSmall startup
IndustryStaffing & Recruiting
Company size1 - 10

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Job description

How about joining a brand-new, global, high-level team that aims to revolutionize the construction industry through digital transformation — creating a massive impact on Japanese society and the world?


This role is a rare opportunity to join a newly created global AI/ML organization that is driving a major digital transformation within one of Japan’s largest and most traditional industries. You will be part of a high-level international team working to bring advanced AI technologies into a sector that still relies heavily on analog processes — creating an impact that will be felt across the entire industry and future generations.


Here, AI is not experimental or theoretical. You will work on real end-to-end solutions that go into actual production environments used by professionals nationwide. From defining business problems together with product and domain experts, to designing ML architectures, training models, and building deployment pipelines, you will own the full technical lifecycle.


This position combines deep technical challenges with real-world impact. You will collaborate directly with top-tier global engineering leaders (CTO, VP-level, senior architects) and other high-skilled members from around the world, in a fully modern development environment.


If you want to work on meaningful AI that solves real problems, build core technology from the ground up, and contribute to a digital revolution in an industry that is just beginning its transformation, this is one of the most exciting opportunities in Japan today.


About the Company

This company is one of Japan’s most established and respected enterprises, with over 1,200 employees and a remarkable 400-year history in the construction industry. Today, the organization is entering one of the most transformative phases in its history, driven by three major ambitions:

  • Becoming a truly global company
  • Launching an IPO next year
  • Leading the digitalization of the construction industry

The CEO—educated in the United States and highly committed to innovation—has made a strategic decision to build the company’s first-ever in-house digital and product development organization. To achieve this, he has recruited some of Tokyo’s top technology leaders, including a world-class CTO, CIO, and VP of Technology.

Their mission is clear:

bring all previously outsourced development in-house and build a powerful internal tech organization capable of transforming the industry from within.


Why Join?

  • Work-Life Balance: Full Remote from all Japan + Flex-time
  • Career Growth: Opportunities for career advancement
  • Bilingual Environment: Diverse, multicultural team
  • Pre-IPO Phase
  • Global Expansion (The company is aiming to become a global leader and already has offices in India, Singapore, Indonesia, and Vietnam)

Requirements


  • Language Skills

Business-level Japanese (JLPT N2). Conversational English is requiredto communicate with global team members and engineers.

  • Strong proficiency in Python, including experience with data science libraries such as Pandas, NumPy, etc.
  • Practical experience using machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Deep understanding of machine learning algorithms and deep learning architectures, such as CNN, RNN, Transformer, etc.
  • Hands-on experience with at least one specialized AI domain, such as: Computer Vision, or Natural Language Processing
  • Demonstrated experience across the full machine learning lifecycle, including data collection, preprocessing, model training, evaluation, deployment, and monitoring.
  • Bachelor’s degree or higher in Computer Science, Information Engineering, or a related STEM field.
  • Ability to work effectively in a collaborative, cross-functional environment with engineers, PMs, and business stakeholders.
  • Strong analytical and problem-solving skills with the ability to translate complex requirements into AI/ML solutions.

Benefits

Benefits

  • Employment Type: Full-time employee
  • Estimated Annual Salary: Up to Â¥12M
  • Remote Work: From anywhere in Japan available
  • Working Hours: 9:00 AM to 5:30 PM (7.5-hour workday)
  • Flexible Hours: Yes (Core Time: 11:00 AM to 2:00 PM)
  • Holidays: Full two-day weekends (Saturday and Sunday) + National holidays
  • Year-end and New Year holidays: 122 days of annual leave (2023 data)
  • Various paid leaves: annual leave, summer/winter break, bereavement leave, refresh leave, life support leave, anniversary leave

Location

Tokyo, Japan (Head Office in Shinjuku)

Full remote work available across Japan.



Salary: 〜1200万円

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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