Cake 找工作

【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。

・與產品、風控、運營團隊協作，針對業務需求定義資料模型與監控指標・建置 ETL 流程，收集與清洗來自平台的行為數據（如下注記錄、轉碼、點擊行為）・開發與維護異常偵測模型（如洗碼對打、機器人行為、套利用戶）・利用機器學習或統計模型預測玩家留存、LTV、流失風險・設計風控策略，提升平台資金與行爲風險控制能力・定期產出分析報告，提出可行的產品或營運優化建議

主要職責： 1.設計並實現高可用性、可擴展且安全的Google Cloud Platform雲端架構，確保符合客戶業務需求與技術要求 2.評估現有系統架構，提供最佳化方案與雲端遷移策略 3.建立與管理核心GCP服務，包括Compute Engine、App Engine、Cloud Functions等運算服務與VPC、Cloud Interconnect、Cloud Armor等網路服務 4.設計與實施資料庫解決方案，熟悉Cloud SQL、Cloud Spanner、Firestore、BigQuery等服務的部署與最佳化 5.實施基礎設施即代碼(IaC)策略，使用Deployment Manager、Terraform等工具自動化部署流程 6.建立全面的監控與告警機制，運用Cloud Monitoring、Cloud Logging確保系統效能與安全合規，並進行故障排除與效能優化 7.設計與實施AI/ML解決方案，包括使用Vertex AI、Gemini API、Vision AI等GCP AI服務，協助客戶將AI功能整合至其應用程式與業務流程 8.開發與部署機器學習模型，使用AutoML、BigQuery ML等工具，並建立模型監控與管理流程 9.協助客戶解決技術問題，提供諮詢與支援，作為客戶與技術團隊間的溝通橋樑 10.持續關注GCP新服務與最佳實踐，不斷改進架構設計

【關於 Pinkoi Data Squad】我們是 Pinkoi 的資料團隊，其目標為打造有效的數據平台，同時確保資料的品質與穩定性，讓資料在 Pinkoi 發揮最大的價值。Data Engineer 將與 Business Analyst／ML Engineer 緊密合作，透過數據探索問題、規劃後續的 Data Pipeline（資料管線） 實作，並提供 End-to-end 的 Data Solution，以擴展公司各部門的數據分析能力，並完善整體商業智慧系統。你需要負責的工作內容與產品、行銷、廣告等分析師與商業團隊合作，理解需求並規劃合適的 Data Pipeline。設計、實作與維護 ETL/ELT 流程，確保資料品質、穩定性與新鮮度。建立與優化資料模型，支援報表、分析與機器學習等多種場景。持續迭代並優化資料基礎建設，提升可擴展性與維運效率。建立監控與告警機制，確保 Pipeline 成功率與資料 SLA。我們希望你有的經驗跟特質對 Big Data 和 Data-driven engineering 有極大的熱情。瞭解 ETL 或 ELT 的流程，並具備 Data Modeling 跟開發 Data Pipeline 的能力。具備與產品 / 行銷團隊合作的經驗，並可與商業分析師、資料工程師，以及機器學習工程師協同合作。樂於學習最新的技術，隨時充實自我的專業技能。對大型語言模型（LLM）保持開放與好奇，願意學習並嘗試將其應用於資料工程工作（如：資料清理、欄位補全、文件生成、自動化測試），以探索新工具如何提升效率與使用者體驗。應徵條件數學 / 統計 / 資訊 / 資料科學相關科系畢業，或具備同等專業能力。一年以上數據分析或數據工程相關工作經驗。熟悉 Python、Scala、Java 等任何一種程式語言，Pinkoi 主要用 Python。熟悉 GNU/Linux 系統，Pinkoi 用 Ubuntu。熟悉關聯式資料庫的運用，例如 MySQL。加分條件熟悉廣告歸因邏輯，或具備相關數據處理經驗。具備使用者行為數據處理經驗。具有操作或架設 BI 工具的相關經驗。如 Superset、Tableau、Looker Studio，Pinkoi 使用 Superset 和 Redash。具有分散式運算的相關知識，例如 Spark、Hadoop、Hive 等一種或多種相關技術，Pinkoi 主要用 PySpark。熟悉雲端服務，例如 AWS Athena、S3、Glue，GCP BigQuery 等，Pinkoi 主要用 AWS。了解 dbt 的基礎架構和應用方式，如建立資料模型、撰寫測試、建立巨集等等。有將 LLM 應用於資料工程場景的經驗，例如規則抽取、欄位對齊與補全、文件／Data Catalog 生成、資料品質檢查等。＃不用想了，趕快來當個 Pinkoi 人如果你有信心能夠勝任這份工作，歡迎提供你的個人履歷與小作業，即刻應徵！

產業類別： 儲配/運輸物流 職責要求 1.規劃企業資料架構藍圖（Data Architecture Blueprint） 2.設計資料模型、資料流（Data Flow）、資料倉儲（DWH）、資料湖（Data Lake）等整體架構 3.定義資料標準（Data Standard）、資料字典、資料治理策略 4.建立高效的資料平台與治理機制 5.規劃與導入 Metadata、Data Lineage、 Master Data Management 6.管控資料品質（DQ）、一致性與安全權限 7.跨部門溝通與需求分析，與產品、工程、數據科學、業務單位合作，轉化需求為技術規格 8.協助制定資料相關的 SLA、成本控制與最佳實務 9.導入雲端資料架構與最佳化 10.熟悉 AWS / Azure / GCP 等雲端平台 11.導入 Lakehouse、Streaming、ETL/ELT Pipeline 方案 12.技術導入與架構決策 13.評估並導入資料平台工具（Snowflake、BigQuery、Redshift、Databricks…） 14.針對資料量成長制定可擴展架構策略

This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 5 years of experience with two or more of the following: web tech, data/big data, SQL, BigQuery, systems admin, machine learning, networking, Kubernetes, Oracle, or SAP. Experience with coding in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go, JavaScript, etc.) and in virtualization and orchestration frameworks. Experience with Linux/Unix or other operating systems (e.g., Kernel to Shell, file systems, client-server protocols, etc.). Preferred qualifications: Experience with debugging, working on distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes, etc.). Experience in data analytics, warehousing, Extract, Transform, and Load (ETL) development, data science, or other big data applications. Experience with SQL database administration, open source software communities, cloud networking solutions, or distributed computing. Experience working in a dynamic organization with extensive cross-collaboration across functions. Experience in technical consulting on database design and architecture supporting large enterprise customers with high Service Level Objective (SLO) and Service Level Agreement (SLA) requirements. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Technical Solutions Engineer, you will own our large and important customer issues in addition to providing level two support to our other support teams. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud.In this role, you will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation. Our Technical Solutions team is driven by customers and you will help drive the success of Google Cloud by understanding and advocating for our customers’ issues.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Develop an in-depth understanding of Google Cloud's data analytics (e.g., BigQuery) and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Work as part of a team of engineers and consultants that globally ensure 24-hour customer support. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, and drive high-quality production. Work with customers on their production databases. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

The MoMo Recommendation Platform is a complex system that powers personalized experiences for millions of users using a diverse range of technologies.We’re looking for a Senior Software Engineer with strong system thinking, architecture design skills, and a product mindset to help build the MLOps platform that transforms any AI/ML solutions into production-grade systems at scale.Mô tả công việcThink like a product engineer: you don’t just “code a solution” – you build a platform that empowers others to deliver intelligent sysDesign and develop a flexible platform that turns AI/ML solutions into production-ready systems: microservices, batch pipelines, or real-time APIsBuild infrastructure to support:Model training pipelinesPackaging deploymentServing rolloutMonitoring alertingCollaborate closely with Data Scientists, Business, and Product teams to deeply understand requirements and design adaptable, scalable solutionsIntegrate platform components into MoMo’s broader infrastructure: promotion engine, A/B testing, analytics, real-time scoring, etc.Yêu cầu công việcMust-Have5+ years of experience in software development, system architecture, or backend/platform engineeringProficiency in one or more of the following: Python, Bash, C++, JavaScript, Java, or GoStrong problem-solving skills and teamwork spiritExperience with:Platform Deployment: Kubernetes, Helm, Argo CD, Argo Rollouts, Docker, Google Cloud Platform (GCP) or Amazon Web Services (AWS)Serving APIs: FastAPI, gRPC, MLflow, KServe, custom logic services, REST APIsData Messaging: BigQuery, Redis, MongoDB, PostgreSQL, Oracle, MySQL, Kafka, Pub/SubOrchestration Workflow: Airflow, Argo WorkflowsCI/CD Monitoring: GitHub Actions, Prometheus, GrafanaData Sources: App event streams, relational databases, messaging systems, APIsSolid understanding of distributed systems and cloud-native architectureAbility to design systems that support diverse solution typesPlatform mindset: you build for stability, scalability, and long-term maintainabilityStrong communication and collaboration skills – able to work cross-functionally with Data Scientists, DevOps, and Product teamsNice-to-HaveExperience working with both AI/MLExperience scaling low-latency / real-time systemsFamiliarity with A/B testing, canary release, and shadow deployment strategiesProduct-oriented mindset: you build systems that others can easily adopt and extend

Google welcomes people with disabilities.Google invites you to join us for a unique summer experience in a 10-12 weeks paid internship for MBA students. Our MBA interns work on projects handling some of our complex business challenges in the tech industry. Our graduate interns have joined us in areas across the business, such as Program Management, Technical Program Management.Participation in the internship program requires that you are located in Taiwan for the duration of the internship program. Please complete your application before December 31, 2025.This internship is intended for students in their penultimate academic year. To be eligible for this program, candidates must have an expected graduation date in December 2026 or 2027 and be available to work full-time for 10-12 weeks during 2026 summer.Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.Click the “Apply Now” button to submit your resume in English in a PDF format (in your resume, be sure to include your expected graduation month and year and your availability for the internship). A cover letter is not required.Minimum qualifications: Currently enrolled in a full-time degree program pursuing a MBA and returning to the program after the end of the internship. Ability to communicate in Mandarin and English fluently. Preferred qualifications: Bachelor's degree in Supply Chain, Operations, Information Engineering, Computer Science, Information Engineering, Mechanical Engineering, or equivalent practical experience. Experience in supply chain concepts (e.g., Sales and Operations Planning (SOP), demand forecasting, inventory optimization, lead time variability), logistics, fulfillment, manufacturing, product design, or related operations organizations. Experience in SQL or Python, and Google Cloud AI ecosystem (Gemini, Vertex AI, BigQuery). Knowledge of Google workspace, sheets and data visualization concepts. Understanding of B2C/B2B, manufacturing process flow and optimization, transportation, fulfillment and distribution, or repair operations. Interest in Artificial Intelligence (Generative AI, LLMs, or Machine Learning) through coursework, or self-projects. About the jobOur MBA interns work on projects that take on some of the most cutting-edge business challenges in the high-tech industry. Here are a few teams that our graduate interns have joined across the business:- Business Strategy- Finance- Marketing- Operations Support- People Operations- Product Management- Sales- Technical SolutionsWant to change the world? Or are you thinking even bigger? At Google, you'll find big problems, and plenty of opportunities to make a real difference in the world. Google employs MBA and graduate students, globally, in areas ranging from product management and sales to finance, operations, and human resources - and everything in between.Internships for MBA and other business-focused graduate students are 10-12 weeks long and are offered in a range of functions across the company. For internships, we hire first into job families and then work with successful candidates to find project groups that match their skills and interests.Responsibilities Intern projects will be determined based on the experience, skills and interests of the student. If you are interested in a particular area, please make sure to include it in your resume. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience building, developing, testing, and launching scalable full stack applications. 3 years of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 7 years of experience building and developing scaled infrastructure, distributed systems or networks, or with compute technologies and storage (e.g., spanner, bigquery). 5 years of experience with design and architecture, and testing/launching software products. Experience in building or re-architecting products from scratch. Experience building and developing scaled full stack web and mobile applications. Experience in designing, building, and debugging full-stack applications. About the jobAs a Staff Software Engineer, you will be responsible for designing, developing, and deploying tools and infrastructure to empower creators. You will focus on enhancing the Channel Memberships offering through intuitive onboarding and management systems. You will develop investigative tools to provide creators with insights into their business performance and create supportive tools to guide them in optimizing their offerings. You will also leverage AI to unlock creativity and provide suggestions to creators, while partnering with engineering and product managers to define and drive the technical roadmap for these initiatives.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun and we do it all together.Responsibilities Participate in and lead design discussions with the wider team and influence various tech leads. Provide technical leadership and direction for the team, drive the goal and definition of the roadmap and initiatives in collaboration with cross-functional partners, and manage full-stack development to support these initiatives. Collaborate, mentor, and develop other team members, help define the long-term technical roadmap, identify new patterns, and explore reusable and scalable implementation solutions. Partner and collaborate with related engineering teams, product management, and program management to influence the roadmap to ensure the development of high-quality solutions. Drive near-term and long-term goals, and design, develop, test, deploy, maintain, and enhance the infrastructure and code base. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree in Accounting or Finance, or equivalent practical experience. 4 years of experience in finance or treasury. Preferred qualifications: Experience working with a public cloud platform including deploying and maintaining applications in a cloud-native environment, including familiarity with Google Cloud, BigQuery or working in Google Cloud infrastructure. Ability to work with and create data sets (e.g. querying SQL), automation (Python) and visualization (R), and understanding of data used in enterprise risk management and insurance efforts. Ability to work with data through techniques like data mining, data visualization, ML and AI. Excellent program management skills, with a focus on organization, multitasking, and attention to detail. Excellent communication skills, including working with internal stakeholders. About the jobGoogle's Treasury team is on a mission to optimize the return on Google's financial assets. As a member of this team, you're always looking for innovative ways to help Google invest for the future while limiting volatility and material surprises. In addition to risk busting and asset management, you work collaboratively to administer business insurance programs and stock programs, and provide financial analysis support to our internal teams. You make creative yet calculated decisions that are backed by both experience and your extensive knowledge of the economy and financial industry. As an Insurance Automation and AI Specialist, you will be a key driver of our mission to make our team the most automated and AI-forward risk management team on the planet. You will be responsible for developing, supporting, and maintaining the next generation of AI-powered insurance systems, automation, and actuarial analysis for Alphabet’s Business Risk and Insurance team.In this role, you will provide critical analytics and insurance services such as captive pricing, reserving, and broader risk assessments while simultaneously developing code that infuses our insurance systems and processes with Google's AI. Your analysis will directly inform strategic business decisions and shape Alphabet’s global insurance strategy. You will search into data, approach problems with intense curiosity, and adapt to new information.Responsibilities Support and lead automation efforts to enhance the operational efficiency of Alphabet’s Business Risk and Insurance team. Develop and deploy models and AI-driven solutions to forecast risk, optimize insurance programs, and automate decision-making. Automate data compilation and cleansing for Alphabet’s global insurance renewals and support the maintenance and ongoing development of the internal insurance data warehouse and other systems. Serve as the team's central expert on data and analytics, developing dashboards and communicating key risk metrics to stakeholders and management and collaborate with Google Cloud, Data Science, and Finance teams to integrate new technology into the Business Risk and Insurance team. Research and evaluate emerging AI, automation technologies, and insurance tech trends to identify opportunities for continuous improvement and innovation. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.