Machine Learning Engineer (Global Business)

VISASQ operates a knowledge platform dedicated to its mission: "We make insightful connections possible."

By leveraging an extensive global network of over 700,000 experts, we connect business challenges—from new business development and HR strategies to global expansion—with individuals possessing precisely the right knowledge.

Our tailored solutions, including one-hour interviews, online surveys, and dedicated hands-on support, empower companies to overcome obstacles and achieve their most ambitious goals.

As a pioneer in Japan's Expert Network Service (ENS) industry, we aim to further strengthen our market presence and evolve into a global product that transcends regional and language barriers.

To deliver value to users faster and accelerate our growth, we are seeking a Product Manager to lead initiatives around autonomous AI agents utilizing predictive and generative models.

This role will contribute to both engineering and architecture design.

We are seeking an experienced Machine Learning Engineer to join our Tokyo, Japan team.

Key Responsibilities
Collaborating with engineers at US team 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

Role Highlights

Work closely with the business side throughout the entire process, from problem-solving discussions and specification design to release and continuous improvement.

In addition to solving challenges based on business-side requests, engineers are also encouraged to propose their own ideas.

Since you can be involved from the planning stage of initiatives, this is an environment where you can make a significant contribution to the growth of the service as an engineer.

Depending on your preferences, there may also be opportunities to work at our New York development hub and build a global career.

Technical Environment

Programming language:
Python, C# (ASP.NET Core)

Database:
Microsoft SQL Server


Machine Learning:
Azure OpenAI

Required Qualifications
Bachelor's or Master's Degree in Computer Science, Data Science, Mathematics, or equivalent knowledge/experience
One year or longer Experience developing and operating machine learning models utilizing NLP (Natural Language Processing), or practical experience in data science
Business-level or higher English proficiency (speaking, reading, writing)
Japanese proficiency
Must reside in or be willing and able to relocate to Japan.

Preferred Qualifications
Experience developing in public cloud environments
Experience growing services through continuous development and operations while collaborating with cross-functional team members

Work Location
Tokyo (Head Office)
1F and 9F, 4-7-7 Aobadai, Meguroku, Tokyo , Japan

Contract Type
Permanent
Probationary Period
3 months (same T&C applies as Permanent)

Remuneration

Salary and Bonus:
determined based on skills and experiences

Working Hours
Discretionary labor system, similar to exempt employee
Average working hours: 160 hours/month (average for development team members in second half of FY 2022)

Holiday
Annual holidays: 127 days per year
Full two-day weekends (Saturday and Sunday) and national public holidays
New Year holiday (Year-end and New Year break)
Paid annual leave (granted after 3 months of employment)
Self-development leave (up to 5 consecutive days per year, separate from annual leave)

Benefits
Monthly wellness and productivity allowance (up to 10,000 yen per month for body care, housework support services, learning and skill development, etc.)
Support for external seminar participation
Book purchase support
Annual flu vaccination
Annual health check-up and optional health screening
Access to health insurance benefits (includes access to partner resorts, gyms, restaurants, etc.)
Company housing system
Relocation support for hires from outside the area (at time of hire only)
Company support for study groups and social gatherings
Internal club activity support
Lunch allowance for new hire welcome events and internal networking

Insurance
Health insurance
Pension insurance
Employment insurance
Worker's accident insurance

Work System / Style
Hybrid Work: 3 days attendance per week

Side jobs:
Possible (with prior approval)

Dress code:
Free

Apply

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