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【關於我們 - Data Munger AI】 Data Munger 致力成為企業與實用 AI 解決方案間的最佳夥伴，從導入一路陪伴到落地。 在人人喊AI的時代下，真正為企業打造一個會持續進化的「AI 大腦」讓決策更快、流程更簡，讓人力價值最大化。 官網： https://datamunger.io/ 💼 工作職責 資料處理管道設計與開發 使用 Python 與 BigQuery SQL 為 AI 應用設計、開發及維護資料處理流程，確保機器學習模型可獲取高品質資料。ETL/ELT 工作流程構建 建立並優化 ETL/ELT 流程，確保資料自動化處理與數據一致性。RAG 系統實作 應用 RAG（檢索增強生成）技術，提升 AI 互動的準確性與上下文相關性。向量資料庫與查詢優化 優化向量資料庫（如 Pinecone、Qdrant）及 SQL/BigQuery 查詢效能，提升 AI 搜尋與回應速度。API 建構與維護 使用 Python 框架（FastAPI、Flask）建立並維護資料處理與 AI 服務 API。機器學習模型與資料管道部署 在雲端基礎架構（主要以 GCP 為主，並整合部分 AWS）上部署 ML 模型與資料管道，實踐 MLOps 原則以確保部署具備可重現性、擴展性及監控能力。跨部門協作與技術創新 與資料科學家、AI 研究人員及前端團隊協作，共同打造端對端 AI 產品，並持續導入最新技術以優化解決方案。

【工作職責】 您將加入我們的核心開發團隊，負責銜接後端數據與前端呈現。這是一個結合 Web 開發與數據處理的角色，重點在於將複雜的資料轉化為具價值的視覺化資訊。 數據中台開發：負責中介層 (Middle-tier) 的設計與實作，將後端原始數據進行清洗與轉換 (Data Wrangling)，以供前端介面使用。API 服務建置：開發高效能的 Backend API Server，並實作數據追蹤 (Web-tracking) 與資料蒐集模組。專案協作：參與中大型專案的開發週期，與前端工程師緊密配合，定義資料介接規格，並定期匯報開發成果。

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The RoleWe are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with deployment of AI systems and large language models (LLMs) is not required but a plus. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Proven track record of mentoring junior engineers and fostering a collaborative team environment. Experience in the finance industry is a plus but not required. Experience MLOps, LLM, agents or systems of agents is a significant plus. What We Offer: Competitive compensation package . Core benefits include: premium private health insurance. Strong culture of learning and development: training courses, guest speakers, share and learn events, etc. Regular team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams. Dynamic work without routine in a leading international company. #LI-RS1By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional Python Lead Engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Proven track record of mentoring junior engineers and fostering a collaborative team environment. Experience in the finance industry is a plus but not required. Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Experience in the finance industry is a plus but not required. Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

【Responsibilities】負責核心 AI 平台後端的架構規劃與技術方向制定。 建構並持續強化支援機器學習模型部署與運行的基礎系統。導入 SRE 概念並推動提升系統穩定性、擴展性及效能的相關改善專案。擔任技術領導角色，帶領 3–5 人工程團隊，包含程式碼審查與技術指導。

Job Summary: We are seeking a talented Full-Stack Engineer with experience in designing and developing robust, scalable, and high-performance headless e-commerce systems. You will work closely with cross-functional teams, including logistics, customer support, and warehouse management, to streamline operations and drive business growth. Key Responsibilities: Design and implement a headless e-commerce marketplace channel manager system, ensuring high scalability, performance, and fault tolerance. Architect scalable and fault-tolerant systems to support our e-Commerce platform. Collaborate with software developers to understand system requirements and translate them into technical specifications. Implement and maintain system components, including servers, databases, and networking infrastructure. Develop and maintain system documentation, including architecture diagrams, configuration details, and operational procedures. Monitor system performance and troubleshoot issues, ensuring high availability and reliability. Conduct regular system audits and security assessments to identify vulnerabilities and implement appropriate safeguards. Stay up to date with emerging technologies and industry trends, recommending innovative solutions to improve system performance and efficiency.

開發與維護 AI 醫療相關系統與服務 開發 RESTful API 與前端工程師合作

國內最大化妝品使用心得及排行榜綜合網站@cosme Taiwan(前身UrCosme,2004年創建)在台營運20年，為國內消費者找尋化妝品使用心得及排行榜綜合資訊的主流網站，隸屬於日本上市公司集團istyle.Inc.。集結豐富的美妝產業資訊及美妝愛好者的行為資料，美妝行銷總研(CMRI)運用此資料庫，以多元觀點進行消費者洞察分享，旨在提供美妝業界趨勢分析洞察。本職缺內容如下： 【CMRI美妝行銷總研】商業數據分析師(BUSINESS ANALYST)1. 透過@cosme站資料庫進行資料分析與消費者洞察。2. 定期舉辦seminar，對外分享美妝產業年度趨勢。(CMRI詳情可參閱：https://cmri.itrue.com.tw)3. 透過DMP資料解析，協助各事業部門發展視覺化dashboard—coseek (https://www.coseek.com.tw)。4. 推進「行銷資料科學與預測建模」之相關專案。 5. 其他主管交辦事項。

Join Our Fast-Growing APAC Team! Are you a data-driven problem solver with strong Python and SQL skills? Do you have a keen eye for detail and a passion for optimizing financial processes through data analysis? If so, we want to hear from you! In this role, you will play a key part in delivering high-quality customer data analysis and quality assurance to support our internal financial control function. You will also help the Revenue Operations team uncover valuable customer insights through data analysis on our existing inline services. As inline continues its rapid expansion across APAC, we are looking for highly detail-oriented individuals with strong analytical capabilities to derive insights from diverse data sources. Fluency in English is a plus, as this role involves communication with global partners. We value proactive problem-solvers who take ownership of their work, manage their time efficiently, and continuously seek to improve workflows and documentation. If you're passionate about financial data analytics and eager to drive meaningful impact, this role is for you!What You Will Do Data Analysis & Optimization Python & SQL are essential – use them to automate, analyze, and optimize financial data.Enhance and optimize the billing system using Google Apps Script (GAS) to enable automation.Analyze customer payment behaviors and propose data-driven solutions to improve collection efficiency.Monitor and analyze monthly revenue performance to ensure accuracy and financial health.Maintain clean, structured, and well-documented financial data dashboards for better decision-making. Billing & Accounts Management Set up, manage, and optimize billing systems to improve efficiency.Support customer billing inquiries, ensuring clarity and resolution.Enhance the customer payment experience, making transactions seamless.Maintain accurate financial records and ensure proper cash flow tracking.Conduct regular follow-ups with domestic and international clients via calls, emails, and meetings.Standardize billing processes and ensure invoice accuracy. Process Management & Documentation Accurately track internal and external requests, process information quickly, and resolve issues.Develop and maintain clear, well-structured documentation to improve operational efficiency.Implement and maintain daily, weekly, and monthly productivity and quality metrics based on department needs.