Machine Learning Engineer（Global Business）

■Recruitment Background We operate 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. We are 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

勤務時間　10:00〜19:00 所定労働時間：8時間00分 休憩：60分 昇給・賞与 給与：スキルや経験・能力に応じて決定（年2回見直し） 賞与：年1回（業績に基づく） 休日・休暇 年間：127日 　完全週休2日制（土・日曜日及び祝祭日） 　年末年始休暇 　年次有給休暇（入社3か月後から支給） 　自己啓発休暇（年次有給とは別に、連続5日間までを年1回取得可能） 　産育休（取得実績あり） 雇用形態　正社員 ※ 試用期間：入社後3ヶ月（本採用と同条件） 福利厚生・制度 健康保険・厚生年金・雇用保険・労災保険：有 ◆◇福利厚生◇◆ 仕事のパフォーマンスをあげるための福利厚生（身体のメンテナンス、家事代行、学習費用補助等に月1万円まで使用可） 外部セミナー参加補助 書籍購入にかかる費用負担 個人情報保護士受験費用負担及び合格報酬金 インフルエンザ予防接種 健康診断費／健康診断オプション費用負担補助 健康保険加入に伴う福利厚生（保養施設やスポーツ施設の利用・飲食店の補助等） 借上社宅制度 遠方からの転居費用補助（採用時のみ） 勉強会・社内懇親会にかかる費用補助 社内部活動の活動費補助 新入社員歓迎・社内交流ランチ費補助 ◆◇勤務体制・働き方◇◆ リモートワーク：可（月の50％） 副業：可（事前承認制） 服装：自由 男性の育休取得