*For residents of Japan only
Annual Salary
Determined based on
skills and experience
(Salary and Bonus).
Required Skills & Experience
- Business-level English proficiency (speaking, reading, writing)
- Experience developing and operating machine learning models utilizing NLP (Natural Language Processing), or practical experience in data science (1+ years)
- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or equivalent knowledge/experience
Preferred Skills
- Experience developing in public cloud environments
- Experience growing services through continuous development and operations while collaborating with cross-functional team members
- Business-level Japanese proficiency(Business/N2 level)
About the Organization
- Organization Overview and Mission:
The company operates a knowledge platform dedicated to its mission: "We make insightful connections possible." By leveraging an extensive global network of over 700,000 experts, the organization connects business challenges—from new business development and HR strategies to global expansion—with individuals possessing precisely the right knowledge through tailored solutions.
Role Overview
- Job Title:
Machine Learning Engineer(Global Business) - Involved Business/Services/Products:
Knowledge platform/Expert Network Service (ENS) focused on global expansion and leveraging an extensive network of experts.
Background of Recruitment
- As a pioneer in Japan's Expert Network Service (ENS) industry, the company aims to further enhance its market presence and become a global product that transcends regional and language barriers. To deliver value to users faster and drive growth, the organization is seeking engineers who can contribute to both engineering and architecture design by taking charge of designing and implementing autonomous AI agents leveraging predictive and generative models.
Key Responsibilities
Job Summary:
Responsible for designing, implementing, and validating machine learning models, promoting MLOps best practices, optimizing model performance, and contributing to service development in collaboration with overseas subsidiaries.Job Details:
Collaborating with English-speaking engineers at overseas subsidiaries on service development.Designing, implementing, and validating machine learning models.Promoting CI/CD pipelines, training, model monitoring, and version control based on MLOps best practices.Optimizing machine learning model performance and scalability.Fine-tuning large language models (LLMs) and designing/implementing training.Stay current with the latest trends in machine learning, MLOps, and LLMs; researching and proposing new technologies and methodologies.
Position Appeal, Rewards, and Career Path
- Significant Contribution:
Opportunity to be involved from the planning stage of initiatives, making a significant contribution to the service's growth. - Business Collaboration:
Work closely with the business side throughout the entire process, from problem-solving discussions and specification design to release and continuous improvement. - Idea Proposal:
Engineers are encouraged to propose their own ideas in addition to solving challenges based on business requests. - Global Career:
Depending on your preferences, there may be opportunities to work at the New York development hub and build a global career.
Working Environment
- Programming language:
Python, C# (ASP.NET Core) - Database:
Microsoft SQL Server - Machine Learning:
Azure OpenAI - Work Style:
Discretionary labor system (similar to exempt employee). Remote Work is available (commute to the office 1-2 times per week, frequency subject to change).
[THE WORKERS Agent (Managed by Structiv Inc.)]
We are a specialized career-change agency for non-Japanese mechanical, electrical, and IT professionals living in Japan. We provide comprehensive support to help candidates secure job offers, including assistance with preparing company-required documents such as résumés and CVs, as well as interview coaching.
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