NEW 株式会社ビザスク Machine Learning Engineer（Global Business）

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仕事内容	●Recruitment Background VISASQ operates a knowledge platform dedicated to its mission: "We make insightful connections possible." By leveraging an extensive global network of over 800,000 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
経験・資格	※求人情報の応募要件全てに該当しなくても、企業様に対して内々に打診したり相談することが可能な場合もございます。一つでも当てはまる方は前向きにご検討下さい。 ●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: Experience; comfortable navigating large, multi-module Python codebases independently. - Senior-level: 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: conversational Japanese Proficiency (to seamlessly interface with local product and business teams). ※更なる詳細事項は、カウンセリング（面談）時にお伝えします。
想定年収	700 万円 ～ 1500 万円
勤務地	東京都目黒区青葉台4-7-7 住友不動産青葉台ヒルズ9F
勤務時間	10:00～19:00 所定労働時間：8時間00分 休憩：60分
休日・休暇	●完全週休2日制、祝日、年末年始（年間休日127日） ●有給休暇（初年度：年間10日） ※入社後3か月後に付与。家族の都合、体調不良等での前倒し取得も相談可 ●自己啓発休暇 ※入社6か月後から年1回いつでも5連休（前後土日含めた9連休）を取得可 ●男性の産休5日
試用期間	試用期間 3 months, same T&Cs apply as Permanent
受動喫煙対策の有無	有 敷地内全面禁煙
企業データ	会社名 株式会社ビザスク 事業内容 ビジネス分野に特化した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 株式 ◆東証グロース上場 設立 創業：2012年3月 従業員数 542名 男女比 男女比：50%：50% 平均年齢 約31歳（2025年3月現在）
取材班による独自解説	「知見と、挑戦をつなぐ」をミッションに、世界190カ国52万人超の知見をつなぐナレッジプラットフォームを運営。ビジネス領域で世界一番のナレッジプラットフォームを目指すベンチャー企業。 専門家へのインタビューをマッチングする「ENS（Expert Network Service）」領域で既にグローバルトップ5が視野に入る立ち位置。国内のインタビュー市場においては、圧倒的シェアを確立している。 世界に7つの拠点（東京、シンガポール、香港、ニューヨーク、ローリー、ロサンゼルス、ロンドン）を持ち、グローバルな事業展開を進めている。会議室の名前は、オフィス展開したい世界各国の都市名（例：Amsterdam、Kyoto、Paris等）。 現状、取引先は国内企業（金融、製造業、コンサル等）が中心。取引先の業種の多様さ、顧客の役職レイヤーや部署や事業課題の幅広さがあり、様々なケースに対応していく仕事を通した成長環境が大きな魅力。 創業者でCEOの端羽氏は女性ベンチャー起業家としても注目を集める。 【働き方】 リモート勤務制度も整っており、出社率は50％程度。 月～水に出社し、木～日は地方在住という働き方も可能。一部職種ではフルリモート勤務も可能となっている。
Recruiting No.	01008833000216