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●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).
勤務地
想定年収
福利厚生・待遇
勤務条件10:00～19:00
所定労働時間：8時間00分
休憩：60分
●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
3 months, same T&Cs apply as Permanent
Recruiting No.
社名
事業内容
株式
設立
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【東証プライム上場 日本最大級の発電会社】 電力需給統括部 電力需給システム開発プロジェクトリード担当
【総合重電機メーカー直系 老舗コンサルティング会社】 先端テクノロジー・データサイエンス分野のコンサルタント
【東証プライム上場 有名電機メーカーグループ】 技術系総合職
全員参加型のビジネス変革が成果を生み出し、キャリア人材の成長機会が増え続けています。
魅力ある地域と産業の未来を見つめ、 官民連携のあるべき姿を提言する
人々の生活や命を支えるため、「食料・水・環境」分野で地域に根ざした事業にチャレンジする
お客さま企業の企業価値向上を通して、資本市場の健全な発展を支えます
「成長の果実」を従業員の手に。 世界と日本で多くの企業が待ち望む、 新たな報酬制度の運用を支えたい。
世界水準の研究、技術資産を活かして、 非金融領域に新しい価値を生み出し、 お客さまの新しい事業を支え続ける。
