Machine Learning Engineer(Global Business)

株式会社ビザスク
目黒区

今すぐ応募する

求人の詳細

正社員

資格とスキル

CI/CD
Elasticsearch
クラウドインフラ
Azure
Kubernetes
DevOps経験
日本語
SQL
Docker
PostgreSQL
Redis
Swift
Python

仕事内容の詳細

Recruitment Background

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 businesses 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, having acquired Coleman with the aim of becoming a Global Knowledge platform,we have just entered an ambitious new AI chapter: automating the diffusion of unique human insights that major LLMs haven't captured yet.
To achieve this, we are seeking Software Engineers, ML Engineers, and Data Scientists who can contribute to both engineering and architecture design by taking charge of designing and implementing autonomous AI agents leveraging predictive and generative models.

We are looking for Mid-level and Senior Talent. VisasQ is a publicly listed company (founded in 2012 and still led by our founder/CEO) that operates with a fast-paced startup/scale-up mindset. We are actively strengthening our core team in Japan while collaborating with our engineering presence across the US and Europe.

Responsibilities

Collaborating with global English-speaking engineering team in Japan, US and Europe
Designing, implementing, and validating machine learning models and AI agents across multiple providers (OpenAI, Anthropic, Google) to ensure cost-optimization and system resilience
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

Highlights of the Role

End-to-End Ownership: Work closely with the business side throughout the entire lifecycle, from initial problem-solving and specification design to release and continuous iteration.
Proactive Innovation: We don't just hand you tickets; engineers are expected and encouraged to propose their own ideas and shape the product roadmap from the planning stage.
Global Mobility: Depending on your performance and preferences, there are opportunities to work at our New York development hub to accelerate your global career.

Technical Environment

Languages: Python, SQL
AI/ML & Orchestration: Azure OpenAI, Gemini, Anthropic, LangChain, LangGraph, Scikit-learn, Transformers
Backend & Web: FastAPI, Streamlit, SQLAlchemy
Data & Search: Azure Cognitive Search, Elasticsearch, Redis, CosmosDB, PostgreSQL
Infrastructure & DevOps: Docker, Kubernetes, Azure Functions, Azure DevOps

Required Qualifications

Business-level English proficiency for cross-border collaboration with US and European teams.
Production ML & Backend Experience: Deep hands-on experience building production-grade backend services and ML pipelines.
- Mid-level: 3+ years of experience; comfortable navigating large, multi-module Python codebases independently.
- Senior-level: 5+ years of experience; able to architect event-driven workflows, optimize system latency, and design hybrid search retrieval.
Core Technical Competency:
- Experience with LLM orchestration (structured outputs, tool use, multi-step agent workflows).
- Practical experience with tabular ML pipelines (feature engineering, ranking models/LTR, model validation).
  -Familiarity with modern DevOps/MLOps (Docker, pytest/mocking, CI/CD pipelines).

Preferred Qualifications

Cloud Infrastructure: Experience deploying and scaling services in public cloud environments
Product Growth: Track record of iteratively scaling products in a fast-paced, cross-functional startup or scale-up environment.
Language: Business-level or conversational Japanese Proficiency (to seamlessly interface with local product and business teams).

Interview Process

#1: Screening / Casual Interview
#2: 1st Interview
#3: 2nd Interview:
#4: Final Interview

Work Location

Tokyo (Head Office)MAP
1F and 9F, 4-7-7 Aobadai,Meguroku Tokyo 153-0042, Japan

雇用形態

Permanent

試用期間

3 months, same T&Cs apply as Permanent

給与

Salary and Bonus: determined based on skills and experience

勤務地

Tokyo (Head Office) MAP1F and 9F, 4-7-7 Aobadai, Meguroku Tokyo 153-0042,Japan

勤務時間

Hourly Time Management System OR Discretionary Working System for Professional Work
*The working hours system will be determined based on your skills, experience, assigned duties, and any future updates to internal company regulations.

Hourly Time Management System
Working Hours: 10:00 AM – 7:00 PM

Scheduled Working Hours: 8 hours and 00 minutes / Break: 60 minutes

Discretionary Working System for Professional Work
Deemed Working Hours: 8 hours per day / Break: 1 hour

Average Working Hours: 160 hours / month
(Data from the second half of FY2022, based on the average of development team members)

休日

Annual holidays: 127 days per year

・Full two-day weekends (Saturday and Sunday) and national Japan 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)
・Employee may be eligible for other types of leave as applicable in accordance with the laws of Japan

福利厚生

・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

加入保険

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

勤務体制・働き方

・Health Insurance
・Pension insurance
・Employment insurance
・Worker's accident insurance
・Remote Work: Available (commute to the office 1-2 times per week)
※The frequency of in-office/remote work is subject to change based on future company policy.

会社概要

■ビザスクについて
ビザスクは「知見と、挑戦をつなぐ」をミッションに、世界190カ国70万人超の知見をつなぐナレッジプラットフォームを運営しています。クライアントは、コンサルティングファーム、金融機関、大手事業会社、地方自治体まで、1500アカウントを超え、エキスパートとのインタビューやオンラインアンケートを提供する他、業務委託型の実働型伴走支援や研修講師等のマッチングなど、多種多様な「知見のマッチング」に関するニーズに応えています。

働き方改革やオープンイノベーションの最前線で急成長し、2020年3月に東証マザーズ（現東証グロース）上場、2021年11月に米国大手Coleman Research Group, Inc.を買収し、国内市場の拡大と共にグローバル市場の拡大も行っています。

ミッションの実現に向けて、私達ができることはまだまだ無限にあり、これからも市場の挑戦者として、試行錯誤しながらプロダクトを改善し、新しいマーケットを創っていきます。

■大事にしている5つのバリュー
1. 大きく描け、鋭く尖れ／ Sharpen our Edge
2. 最速／ Excel through Swift Action
3. プライドはクソだ／ Place Your Pride Aside
4. "We” は “I”から始める／ Our Success Starts with Me
5. 違いは強さ、共に創る／ Collaborate without Boundaries

会社説明資料

・開発者向け採用ご紹介資料 https://speakerdeck.com/eikohashiba/visasq-about-dev-team
・ビザスクエア／オープン社内報 https://square.visasq.com/
・VISASQ Dev Blog／開発ブログ https://tech.visasq.com/
・VISASQ DESIGN MAGAZINE／デザイナーブログ https://note.com/visasq_design/m/m5cc76cbc432b
・デザイン・開発事例の紹介 | Cocoda https://cocoda.design/teams/visasq

職務内容補足

【業務範囲について】
雇入れ直後：上記を参照ください
変更の範囲：当社における各種業務全般

会社情報

会社名

株式会社ビザスク

設立

2012年3月

本社所在地

東京都目黒区青葉台4-7-7 住友不動産青葉台ヒルズ9階

資本金

IR資料参照

従業員数

628人（Colemanの役職員数を含む／ビザスク単体：242人／2025年11月末時点）

事業概要

ビジネス領域特化の日本最大級のナレッジプラットフォームの運営、新規事業創出/組織開発支援

ホームページ

https://corp.visasq.co.jp/

プライバシーポリシー

https://visasq.co.jp/privacy

今すぐ応募する