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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。

What will you do: Write high-quality, clean, safe and reliable code, robust tests, and create clear documentation.Continue to communicate well with the sales team and customers.Analyze requirements, develop and deliver product features.Identify and fix problems, improve stability and user experience.Optimize application for maximum performance and scalability. About Us: Sysfeather Co. is an e-commerce SaaS provider from Taiwan, providing merchants with omni-channel and one-stop solutions, including payment, logistics, live video shopping, marketing, analysis, POS, sales and inventory management.We focus on the fashion and beauty retail industry to establish differentiated product advantages. So far, our merchants have accumulated more than NT$50 billion in GMV and more than 25 million orders.We adopt Amazon's 'Day 1 mentality'. We have a start-up mentality of excitement and ambition which fights challenges, embraces change, employs quick decision making and most importantly, has an obsession with its customer.Our highest priority is to satisfy our customer through early and continuous delivery of valuable software."QuiShop" is our next-generation e-commerce SaaS product in preparation. Our development team is recruiting partners who have a strong passion for building products from 0-1 to create a new e-commerce platform that is easy to use, reliable, smart and can disrupt the market!

What will you do: Write high-quality, clean, safe and reliable code, robust tests, and create clear documentation.Continue to communicate well with the sales team and customers.Analyze requirements, develop and deliver product features.Identify and fix problems, improve stability and user experience.Optimize application for maximum performance and scalability. About Us: Sysfeather Co. is an e-commerce SaaS provider from Taiwan, providing merchants with omni-channel and one-stop solutions, including payment, logistics, live video shopping, marketing, analysis, POS, sales and inventory management.We focus on the fashion and beauty retail industry to establish differentiated product advantages. So far, our merchants have accumulated more than NT$50 billion in GMV and more than 25 million orders.We adopt Amazon's 'Day 1 mentality'. We have a start-up mentality of excitement and ambition which fights challenges, embraces change, employs quick decision making and most importantly, has an obsession with its customer.Our highest priority is to satisfy our customer through early and continuous delivery of valuable software."QuiShop" is our next-generation e-commerce SaaS product in preparation. Our development team is recruiting partners who have a strong passion for building products from 0-1 to create a new e-commerce platform that is easy to use, reliable, smart and can disrupt the market!

【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。

We are looking for a engineer to join out team. Our mission is to revolutionize customer service by analyzing contact data and automating interactions using cutting-edge Generative AI. We value strong Python fundamentals and a willingness to master Python and AWS. Key Responsibilities AI Co-Pilot Development: Develop and implement Intent Recognition models for various communication channels (email, chat, phone) and build GenAI Co-pilots to assist Call Center Agents.Python Backend Engineering: Develop, test, and maintain clean, efficient Python applications to automate communication content analysis and handling.Infrastructure Automation: Use Terraform to manage AWS resources and design CI/CD pipelines to automate the deployment process.Integration: Integrate data from various systems to enhance AI models and ensure seamless process automation.Reliability Troubleshooting: Monitor application health and security, while actively troubleshooting and resolving issues in development, testing, and production environments.Documentation: Contribute to the documentation of system architecture and processes.Collaboration: Work in a proactive, agile team environment, utilizing pair programming to maintain high standards.

此職缺將派駐於大型知名美商科技公司 Duties: This role focuses on supporting and improving tools that track bug reports and help identify issues in Bluetooth products. You will work on debugging log-related failures, enhancing the reliability and usability of internal tools, and extending Python-based infrastructure to better support the development and testing efforts of engineering teams. The position offers hands-on experience with both troubleshooting and building automation solutions that improve workflow efficiency. Responsibilities: • Investigate logs and debug tool failures affecting system reliability. • Improve tools that parse and reattach data to bug reports for better traceability. • Triage Bluetooth-related tooling issues and collaborate across teams. • Build and maintain Python scripts and frameworks to improve automation and monitoring.

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.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Team and Role:Are you ready to join a dynamic team dedicated to designing cutting-edge products for a leading company? The audio embedded software engineering group is seeking a talented Quality Assurance Engineer to join our team. Based in our Chennai office, you will collaborate closely with the embedded software team, contributing to engineering validation during the early stages of product development. With full access to the design and product source code, you will play a key role in identifying weaknesses and proposing effective solutions. As part of our international organization, you will engage in cross-functional collaboration with electrical, acoustic, and digital signal processing engineering teams worldwide. If you are a detail-oriented engineer with a passion for delivering innovative consumer electronics products and a genuine interest in audio, you could be a perfect fit for this role. The products you help create will be utilized by thousands of people daily, making a significant impact on their lives. Are you ready to make a difference?Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Participate in the initial phases of product design, coordinating validation tasks in conjunction with the embedded software engineering team. Implement the plan to deliver world class experiences.Enhance quality standards by identifying opportunities for product designs and process enhancements, collaborating closely with embedded software and system architects to integrate these improvements.Collaborate effectively with the embedded software development team, providing timely and constructive feedback, and taking proactive initiatives to contribute to the overall success of the project.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:5 years of experience in engineering validation, white box testing, and testing automationProven track record in delivering consumer electronics productsFluent in programming languages C and PythonProficiency in software development management tools like JIRA and GitHubPreferred Qualifications:Proficient in embedded software development tools and techniquesDeep expertise in audio and wireless technologies. #LI-MR2Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.