Cake 找工作

・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

- Set up and execute extract, transformation, and load (ETL) functions to build a data pipeline.- Extraction and analysis of large data sets from MySQL.- Performance tuning for current and newly added queries to the databases, ensuring the database resources are fully utilized.- Delivering clear analysis and reporting of core business metrics to shareholders.- Creation and management of reports and dashboards.- Data management.- Enhance and optimize existing reporting processes.- Ad hoc analysis and reporting to clients and shareholders.- Aid in reconfiguring existing architecture and database structure to address our shareholder's evolving needs.- Daily maintenance and monitoring of all BI-related databases and dashboards, including proficient handling of emergencies.- Providing actionable insight to drive the growth of core products.Our Stack MySQL (Must)Python (Good to have)AirFlow (Good to have)AWS (Good to have)Metabase (Good to have)Redshift (Good to have)Linux (Good to have)

【公司描述】 我們是一家全球領先的數字資產交易與支付科技公司，致力於打造安全、高效的金融基礎設施。 目前，我們正在尋找資深數據工程師，負責獎勵與財務數據項目的開發與優化，與國際團隊合作，打造高效且可擴展的數據平台。 【Company Overview】 A global leader in digital asset exchange and payment technology, committed to building secure and efficient financial infrastructure. The company is now hiring a Senior Data Engineer to drive development and optimization of data systems for rewards and financial operations. This role involves close collaboration with international teams to build scalable and reliable data platforms. 【職位亮點】 ✅ 年薪 USD $60,000–80,000，具競爭力的薪資與成長空間 ✅ 國際化團隊，與全球頂尖技術專家合作 ✅ 參與高併發、即時數據處理專案，發展大規模數據基礎設施 【Role Highlights】 ✅ Competitive salary (USD $60K–80K) with strong career growth ✅ Join a global team and work with top engineers from around the world ✅ Build high-throughput, real-time data infrastructure at scale 【職位職責】 🔹 數據平台與管道開發：設計與維護穩定高效的數據架構 🔹 數據倉儲建置與優化：支援離線與即時數據的儲存與檢索 🔹 大數據處理與轉換：使用 Hadoop、Spark、Flink 等技術 🔹 跨部門協作：與財務、獎勵、技術團隊合作，提供數據解決方案 【Responsibilities】 🔹 Design and maintain stable, high-performance data platforms and pipelines 🔹 Develop and optimize offline and real-time data warehouses 🔹 Process and transform large data sets using Hadoop, Spark, or Flink 🔹 Collaborate cross-functionally with Finance, Rewards, and Engineering teams to deliver data-driven solutions 【職位要求】 ✔ 3–8 年數據平台或數據工程經驗 ✔ 精通 Hadoop、Spark、Flink 等大數據工具 ✔ 熟悉 Python / Scala / Java 至少一種程式語言 ✔ 熟悉數據倉儲與 ETL（離線與即時）開發經驗 ✔ 有 Airflow 經驗者佳 ✔ 英文流利，能與國際團隊順利溝通 【Requirements】 ✔ 3–8 years of experience in data platform or pipeline engineering ✔ Proficient in big data tools: Hadoop, Spark, Flink ✔ Strong programming skills in at least one of: Python, Scala, or Java ✔ Solid understanding of data warehousing and ETL (offline real-time) ✔ Experience with Airflow is a plus ✔ Fluent in English with strong communication skills for working across global teams---------------------------------------------------------------------- 若您對此職位感興趣，請立即聯繫，讓我為您介紹更多詳細資訊！ ▶︎ 聯繫人：招募顧問 Owen Wu▶︎ LINE： https://line.me/ti/p/ICjS8Jx0Dq▶︎ LinkedIn： https://www.linkedin.com/in/owen-wu-1023a41a4/

awoo 阿物科技以深厚的 SEO 顧問專業起家，成功轉型為服務全球逾 16,000 家企業的 MarTech 領導品牌。面對生成式 AI 改寫企業營運與消費者行為的巨浪，awoo 結合「頂尖 AI 技術」與「十年顧問實戰經驗」，推出具備市場前瞻性的 GEO (Generative Engine Optimization) 與 LLMO 解決方案。我們致力於協助企業在大型語言模型主導的未來，不僅被 AI 看見，更被精準引用與推薦，將 AI 轉化為企業持續成長的最佳 Agent。 Major Duties and Responsibilities： 產品落地與協作：負責開發和優化 AI 產品與服務，從 PoC 到產品化，跨部門合作提出創新解決方案，推動 AI 產品落地。效能優化：維運現有系統，分析並解決服務和算法的效能瓶頸。ML/Data Pipeline：設計與建立可擴展的 Pipeline 自動化流程，提升開發和部署效率。 Qualifications： 具備 5 年以上軟體開發經驗，3 年以上 AI 產品研發經驗。熟悉自然語言處理（NLP）、生成式 AI 相關技術（LLM, RAG, Prompt/Context Engineering），使用開源套件或自行開發算法（Transformers, LangChain, LangGraph, DSPy, TensorFlow, PyTorch, Scikit-Learn）。具備模型的開發、訓練、部署、優化的完整實務經驗。具備使用 Container 和 Kubernetes 的開發與部署經驗。熟悉向量資料庫與 Embedding 模型，確保系統效能與可擴充性。熟悉分散式計算與查詢引擎（如 Spark、Trino、Clickhouse），具有處理大量資料處理開發與維運經驗。熟練 Git, Linux, Python, Docker, SQL，能以 FastAPI 開發高效服務。 Nice-to-Have： 雲平台經驗，如 GCP, AWS, Azure。具有 LLM/SLM Finetuning 實務經驗。MLOps/LLMOps 專案經驗，以量化指標來衡量模型和產品的成效。規劃與實作 CI/CD 自動化流程。具備推薦、搜尋或貼標系統的產品化經驗 擅⻑工具（JD 標籤） 程式與開發：Python, Git, Linux, SQL, FastAPIGenAI：RAG, Prompt Engineering, Context Engineering, Agent資料與運算：Airflow, Spark, Trino, Vector Database, Qdrant平台與部署：Docker, Kubernetes, Cloud, GCP, AWS, Azure

我們正在尋找一位具備深厚AI技術背景與架構設計能力的資深AI架構師／工程師，能夠主導公司AI技術的發展方向，並在各個業務環節與產品中導入AI解決方案，提升整體營運效率與產品競爭力！ 【工作內容】 • 擔任AI技術領導角色，制定AI技術藍圖與發展策略 • 主導AI架構設計，涵蓋資料處理、模型訓練、部署與監控 • 與產品、業務 等跨部門合作，發掘AI應用場景並提出創新解決方案 • 評估並導入最新AI技術（如生成式AI、LLM、Vision AI、AutoML等） • 指導團隊成員進行AI模型開發與優化，提升團隊技術能力 • 參與AI相關專案的技術評估、PoC、落地實施與效益分析 【必要條件】 • 資訊工程、電機、統計、數學或相關領域碩士以上學歷 • 5年以上AI／機器學習／深度學習相關工作經驗 • 熟悉主流AI框架（如 PyTorch、TensorFlow、Transformers、LangChain 等） • 具備大型AI系統架構設計與部署經驗（雲端／地端皆可） • 熟悉資料工程流程與工具（如 Spark、Airflow、Data Lake、ETL） • 具備MLOps實務經驗者佳（如 MLflow、Kubeflow、Docker、Kubernetes） • 具備良好溝通能力與跨部門協作經驗

部門簡介 先進工業電腦視覺解決方案新事業發展部(Advanced Industrial Computer Vision Solution BD, AICBD) 致力於解決製造業中的人工作業問題，提供全面且靈活的解決方案，幫助企業在市場競爭中脫穎而出。AICBD專注於利用人工智慧（AI）和深度學習技術，為製造業提供高效且精確的電腦視覺解決方案，旨在提升生產效率和產品品質。 核心目標： 1. 提升組裝直通率：通過AI管理平台蒐集和分析工站影像資料，減少錯、漏、反造成品質不良的因素和降低重工率，提高生產效率。 2. 提高產品品質：在關鍵步驟應用AI電腦視覺技術，確保產品出貨後穩定可靠，增強競爭力。 3. 縮短新產品導入時間：利用AI技術，加快新產品導入流程，協助工廠提升競爭力。 工作職責 1. 系統架構設計：負責設計和構建高效穩定的AI系統架構，包括模型訓練、推理和部署等。 2. 技術導入和優化：導入新的AI技術和方法，優化系統性能，提高模型準確率和效率。 3. 問題解決和優化：識別和解決系統中的技術和性能問題，進行系統性能優化和調優。 技能需求 1. 熟悉MLOps, Airflow, kubeflow 等技術 2. 熟悉後端框架和ORM框架經驗 3. 熟悉RESTful API 設計 4. 熟悉任一RDB 資料庫 5. 熟悉Linux shell script 6. 可獨立作業，具備良好溝通、學習能力

我們正在尋找一位具備 3-5 年經驗的資料工程師，加入我們的數據團隊。您將負責設計、構建並優化高效率的 Data Pipeline，確保資料從來源端到分析端的準確性與即時性。 此職位不僅需要強大的 Python 與 ETL 開發能力，更需要您對 資料來源標準（如 CKAN, SDMX）有深入理解，能夠以「分析師的視角」來設計資料架構，確保產出的數據能精準支持商業分析與決策。[職務內容] 1. Data Pipeline 開發與優化 (Core Engineering) 使用 Python 與 SQL 開發高效、可擴展的 ETL/ELT 流程。 運用 Apache Airflow 進行工作流排程、自動化管理與相依性設計。 針對不同資料來源（API, DB, Flat Files）進行研究與串接，如 WorldBank等開放資料或統計資料格式。 2. 資料品質與系統監控 (Quality Observability) 建立資料品質檢測機制（Data Quality Checks），確保數據的完整性、一致性與正確性。 設計並維護系統監控機制（Monitoring），在 Pipeline 失敗或資料異常時能自動告警，並進行 Root Cause Analysis (RCA) 與修復。 3. 資料架構與模型設計 (Architecture Modeling) 理解下游商業分析與報表需求，設計合適的 Data Model（資料模型），確保資料易於提取與分析。 協助維護 Data Dictionary（資料字典）與文件，提升資料的可觀測性與團隊協作效率。 4. 跨部門協作與技術支援 (Collaboration) 與業務部門及 Data Analyst 溝通，轉化商業需求為技術規格，並支援 Presales 與 POC (Proof of Concept) 的技術驗證。 資料領域知識： - 具備處理 JSON, XML, CSV 等多種資料格式的經驗。 -（關鍵） 理解開放資料標準或統計數據交換格式（如 Open Data API 串接或 SDMX 結構）者優先考慮。 - 對資料分析方法（如 BI 工具、統計分析）有基本概念，知道如何將 Raw Data 轉化為適合分析的結構 (Ready-for-analysis data)。 - 軟實力：具備良好的邏輯思維，能獨立解決複雜的資料異常問題，並具備撰寫高品質技術文件的能力。 5. 其他主管交辦事項

If You Are● The successful candidate will be a self-driven person with proven experience inlarge-scale RDBMS and data warehouse● The candidate will have a deep understanding of MySQL and MongoDB● The candidate will be familiar with data model, schema and ETL processes design pattern.Who We AreOpenNet is one of the best companies to work for in Taiwan; we offer a dynamic and rewarding environment for high-achievers looking to work and learn alongside like-minded individuals. We are currently in a period of rapid growth as we expand to make our technology available in over 20 countries.We believe our employees are the company’s most valuable asset and are invested in seeing our employees grow in their careers and strike a work-life balance. We do our best to attract top talent and create a great workplace where people feel engaged, inspired, challenged, and respected.Our StackCore:● Database: MySQL, MongoDB● PaaS: AWS RDS, Redshift, MongoDB AtlasPlus:● Business Monitoring: PMM● Cloud Services: AWS EC2, Cloudwatch, Secrets Manager, etc.● ETL presentation: airflow, metabase.● Server Operating System: CentOSKey Responsibilities● Manage MySQL MongoDB databases● Refine data model ETL processes in Redshift data warehouse● Cowork with developer to optimize the schema design queries

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

Realize your potential by joining the leading performance-driven advertising company! As a Senior Backend Engineer on the RD Team in our Taiwan office, you’ll play a vital role in designing and maintaining the robust systems that power our backend systems. You’ll build scalable data pipelines and backend services that process billions of daily requests, directly impacting how millions discover content worldwide. To thrive in this role, you’ll need: 5+ years coding experience in Java or similar OOP languagesExpertise with relational and NoSQL databases (MySQL, Vertica, Cassandra, Google BigQuery..)Experience with distributed systems (Spring, Maven, Kafka, Apache Spark, Hadoop..)Deep understanding of core data structures, common algorithms and algorithmic complexity (Big O notation).Proven track record building and managing data pipelinesProficiency with version control systems such as Git, CVS, or Subversion Bonus points if you have: Experience with Kubernetes and containerizationKnowledge of workflow automation (Airflow) How you’ll make an impact:As a Senior Backend Engineer, you’ll bring value by: Designing and developing high-performance backend services and improve Taboola’s recommendation Ad Quality infrastructure. Building and optimizing large-scale data pipelinesWriting clean, maintainable code following best practicesConducting thorough code reviewsTroubleshooting and resolving system performance issuesCollaborating with cross-functional teams on technical solutions Why Taboola?If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about: Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture. Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda. Ready to realize your potential?Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, Twitter, YouTube, the Taboola Life Blog.