AI Engineer (Overseas Applicants Welcomed)

As a Data Engineer / AI Engineer, your core mission will generate impactful insights and develop innovative, data-driven solutions that create tangible new value within the dynamic real estate technology sector. You will play a crucial role in transforming raw data into actionable intelligence and contributing to the development of next-generation AI-powered applications.

Key Responsibilities (Further details regarding specific responsibilities will be discussed during the interview process.):

Big Data Processing and Statistical Analysis: Apply advanced statistical methodologies and techniques to process, cleanse, analyze, and interpret large and complex datasets. Extract meaningful patterns, trends, and correlations to inform business decisions.

Machine Learning Model Development and Deployment: Design, develop, train, evaluate, and deploy machine learning models for various applications within the real estate domain (e.g., predictive analytics, recommendation systems, process automation).

AI Engineering and Solution Implementation: Architect, build, and maintain scalable and robust AI/ML pipelines and infrastructure. Integrate machine learning models and data-driven insights into existing and new products and services.

Development of Data-Driven Solutions: Identify business opportunities where data analysis and AI can provide significant value. Collaborate with product managers and other stakeholders to define requirements and develop end-to-end data-driven solutions.

Data Exploration and Visualization: Conduct exploratory data analysis (EDA) to gain a deep understanding of the data. Create insightful visualizations and reports to communicate findings effectively to both technical and non-technical audiences.

Collaboration and Communication: Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to ensure seamless integration of data science and AI initiatives. Effectively communicate technical concepts and results to stakeholders.

Staying Updated with Emerging Technologies: Continuously research and evaluate new data science, machine learning, and AI technologies and methodologies to ensure the company remains at the forefront of innovation.

Required:

A Bachelor's degree from an accredited institution in Computer Science, IT Engineering, AI or a closely related quantitative discipline.

Fundamental understanding of statistical concepts and principles.

Proven experience in data processing, data cleaning, and exploratory data analysis.

Programming skill in at least one relevant language (e.g., Python, JavaScript, SQL).

Basic understanding of machine learning concepts and algorithms (prior experience is a significant plus).

Business-level Japanese language proficiency

(N2~N1 level or equivalent conversational and reading/writing skills are necessary for effective communication within the team. Formal certification is not mandatory, but demonstrable communication skills are essential).

Preferred Traits:

Highly proactive with a strong sense of ownership and a results-oriented mindset.

Demonstrated ability to independently manage the end-to-end data analysis lifecycle, from data acquisition to delivering actionable insights.

Adaptable and flexible thinking in a dynamic work environment.

Strong teamwork and collaboration skills with the ability to contribute effectively to a team.

What You’ll Gain:

Cutting-Edge Technological Exposure: Gain hands-on experience working with state-of-the-art artificial intelligence technologies and big data platforms in a real-world industry setting.

Exceptional Learning and Professional Growth: Benefit from continuous on-the-job training in statistics, machine learning, and data engineering principles under the guidance of experienced professionals. We foster a culture of learning and development.

Flexibility and Innovation: Enjoy the opportunity to explore diverse technologies, experiment with new approaches, and make significant contributions to the development of innovative products that shape the future of real estate tech.

Tangible Impact and Contribution: Your insights and contributions will directly influence product development and strategic decision-making. We value the voices of our engineers and users.

Meritocratic Advancement: We offer a transparent and equitable merit-based system that provides clear pathways for salary increases, promotions, and bonuses based on your performance and contributions, regardless of age or seniority.

Employment Details:

Type: Internship leading to a Full-time position (conversion based on performance and mutual agreement).

Trial Period: 3 months.

Annual Salary: ¥4,000,000~ (negotiable based on experience and skills).

Monthly Salary: ¥250,000 – ¥350,000.

Bonuses: Paid twice annually (July and December).

Raises: Annual salary review and potential increase in July.

Transportation Allowance: Up to ¥30,000 per month.

Internship Stipend: During the internship period (prior to visa acquisition for international candidates), you will receive a weekly stipend of ¥50,000, in addition to reimbursement for transportation expenses.