Cake Job Search

公司介紹： 我們的客戶是一家領先的金融科技公司，致力於通過數位、數據和技術推動整體轉型。公司正在積極打造數據驅動文化，以成為提供卓越金融服務的科技公司為目標。公司環境開放創新，鼓勵員工發揮創造力，實現職業理想。 JD: 1. 機器學習、深度學習或統計分析模型專案開發 2. 配合數據技術發展目標，研究與實作可落地應用之新興數據模型技術 3. 協助數據轉型，規劃end-to-end的數據應用解決方案 4. 當負責之數據服務被設定為""不能中斷""之服務等級，則需配合維運團隊於非上班時段on call以便即時處理問題，確保服務穩定。

我們的客戶是一家領先的金融科技公司，致力於通過數位、數據和技術推動整體轉型。公司正在積極打造數據驅動文化，以成為提供卓越金融服務的科技公司為目標。公司環境開放創新，鼓勵員工發揮創造力，實現職業理想。JD:協助主導大數據生態圈資料市集與應用建置，管理資料流上下游協同作業，制定資料治理政策，包含但不限於以下： 1.分析型資料市集、API數據中台、管理平台設計、開發與維運。 2.建立工程開發流程與模式、系統文件規劃、撰寫。 3.結構化及非結構化資料處理與整合。 4.用資料導向概念提升各類業務，並導入系統以加強各項資料應用。 5.建立資料治理規則，確保資料品質。

1. Develop Cluster Deployment/Management/Monitor Modules2. Big Data Platform Operation (Hadoop, Spark, HBase, ...)3. Support Customer to Maintain Big Data Platform

公司介紹： 我們的客戶是一家領先的金融科技公司，致力於通過數位、數據和技術推動整體轉型。公司正在積極打造數據驅動文化，以成為提供卓越金融服務的科技公司為目標。公司環境開放創新，鼓勵員工發揮創造力，實現職業理想。 JD: 1. 參與雲端數據架構發展規劃，設計資料處理、儲存、分析架構，以符合數據科學、數據分析、行銷應用等發展 2. 負責地端數據轉換雲端ETL Pipeline開發與維護、DevOps開發與維護 3. 負責雲端數據平台穩定及架構精進，以利數據應用發展 4. 負責監控/問題解決/維運升級 雲端數據應用服務平台 5. 數據應用相關API開發

🌟高流量🌟國際社群軟體開發商，致力於開發以地緣為主的社群平台，擁有將近五千萬人次下載量、數十億影片瀏覽次數，用戶遍及全球。比起關注遙遠的地點發生了什麼事，人對於發生在自己生活周遭的事物更有興趣。人們在這些熟悉的地方最有親切感與歸屬感，也因此關切在此發生的一切。我們藉由地緣結合短影片及區域話題群組探索生活周遭的新鮮事物，與所在地點有更深入的連結。🗣️新產品 AI Friend去年推出北美市場，與 ChatGPT 一問一答、整理資訊的模式不同，更像是朋友，能記住你的相關訊息，像是朋友的生日、最近的聊天內容等。該產品由一支20多人組成的AI團隊開發，已經研發多年。 如果你喜歡快節奏的工作模式，或者你希望擁有值得奮鬥的人生目標；想參與產品的快速成長，並期待在大流量的社群平台中獲得成就，歡迎聯繫我們。 工作簡述 我們正在尋找一位充滿熱情且技術熟練的AI工程師加入我們的團隊，負責設計、開發和實施人工智慧解決方案。你將與跨職能團隊合作，利用機器學習、深度學習和資料分析技術來解決複雜問題並推動產品創新。 工作內容 設計並開發AI模型，包括機器學習和深度學習演算法，用於解決業務需求。清理、預處理和分析大規模資料集，確保模型輸入資料的品質。將AI模型整合到現有系統或應用程式中，並優化其效能與可擴展性。與資料科學家、軟體工程師和產品經理合作，定義專案目標並交付成果。持續監控和改進已部署的AI系統，確保其準確性和可靠性。研究最新的AI技術和趨勢，並提出應用於公司產品的創新建議。撰寫清晰的技術文件，記錄模型開發過程和部署細節。 此職務的必要條件 至少2-3年AI、機器學習或相關領域的實務經驗。程式語言：熟練掌握Python，熟悉相關套件（如TensorFlow、PyTorch、Scikit-learn、Pandas等）。技術能力：深入理解機器學習演算法（例如回歸、分類、叢集）和深度學習框架（例如CNN、RNN、Transformer）。熟悉資料處理和特徵工程技術。有雲端平台經驗（如AWS、Google Cloud、Azure）者佳。問題解決能力：能夠獨立分析並解決技術挑戰。團隊合作：具備良好的溝通能力和跨部門協作經驗。學歷：電腦科學、資料科學、數學、工程或相關領域的學士學位（碩士或博士學位尤佳）。 加分條件： 有自然語言處理（NLP）、電腦視覺或強化學習的專案經驗。熟悉大數據工具（如Hadoop、Spark）或容器技術（如Docker、Kubernetes）。已發表過AI相關論文或擁有開源專案貢獻。 工作內容： 1. 資料分析(領域資料洞悉、特徵選擇、資料前處理等) 2. 機器學習或其他相關演算法開發, 維運 3. 機器學習模型改善以及效能調校 4. 開發以及部署高度可擴展的機器學習模型 5. 使用資料整合平台(如AirFlow) 建立 MLOps 管線

🏢 公司介紹 我們的客戶是台灣最具規模與影響力的零售集團龍頭，積極拓展多元化的電商平台生態系。作為台灣零售業的標竿企業，該公司持續引領產業創新，近年積極推動全面數位轉型，整合線上線下（O2O）資源，打造台灣最大規模的全通路零售平台。 為什麼加入我們？ 產業領導地位：台灣零售業龍頭，擁有穩健發展基礎與龐大數據資產 數位轉型先鋒：目前正全力投入集團電商整合與數位化升級，是參與零售科技革命的絕佳時機 絕佳職涯發展：在數位經濟時代，您的專業能力將直接對數百萬消費者與企業營收產生顯著影響 工作內容介紹 領導團隊：帶領資料科學家與資料工程師團隊，訂定技術目標，打造以成長與創新為核心的團隊文化。 技術路線圖：規劃並執行資料科學與AI技術策略，導入機器學習平台與雲端資料解決方案，確保系統高效與可擴展。 跨部門協作：與工程、行銷與產品團隊合作，將業務需求轉化為數據驅動的解決方案，推動個人化推薦與預測分析專案。 資料合規：確保資料處理流程符合隱私與合規要求，建立安全且穩健的資料管線。 專案管理：監督資料蒐集、建模與部署流程，確保專案成果能有效落地並創造商業價值。 使用的技術 程式語言：Python、R、Java 雲端平台：AWS、Google Cloud Platform（BigQuery）、Azure（Redshift、Databricks） 大數據技術：Spark、Hadoop、Airflow、AWS Data Pipeline 機器學習框架：TensorFlow、PyTorch、MLflow、Kubeflow 容器與CI/CD：Kubernetes、Docker 其他：ETL/ELT流程、敏捷開發（Scrum/Kanban）、A/B測試、CDP與MarTech整合

公司介紹 我們的客戶為台灣具代表性的證券公司，長期深耕數位金融與智慧投資服務，並積極透過資料治理與 AI 應用，打造新一代以客戶為核心的數位體驗。 近年持續推動數據平台化、AI 治理與個人化服務，已成功將數據轉化為實際的投資決策與客戶互動價值，是金融產業中少數能將數據治理真正落地的組織之一。 工作內容 規劃、建立並落實 資料治理（Data Governance）與 AI Governance 機制，確保 AI 應用的合規性與可持續性 主導 數據即服務（DaaS） 架構，推動數據平台化與跨單位數據共享 結合數位軌跡與客戶行為分析，發展個人化服務與精準客戶意圖場景 以業務目標導向規劃數據驅動的數位轉型，拓展數位金融生態圈 建立與管理客戶標籤體系，支援行銷、風險控管與服務優化 協助打造數據自動化 Pipeline 與視覺化 UI / UX，提升數據使用效率 帶領團隊或跨部門專案，推動數據與 AI 應用落地 使用的技術與工具 Python Oracle SQL Data Pipeline / Data Platform 客戶行為數據與標籤系統 （加分）TensorFlow、PyTorch、Hadoop （加分）Tableau、Power BI、JavaScript

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Experience in system design or reading code (e.g., Java, C++, Python). Experience in a customer-facing role working with stakeholders, driving customer technical implementations or transformation programs. Ability to communicate in English and Mandarin fluently to support client relationship management in this region. Preferred qualifications: Master's degree in Computer Science or equivalent practical experience. Experience in the online advertising industry. Experience with SQL, Linux, and cloud or distributed computing platforms like BigQuery, Hadoop, App Engine, etc. Ability to collaborate with people and multiple job functions. Ability to work separately, and manage multiple projects and solve problems. Excellent communication skills, with the ability to present technical materials to groups. About the jobgTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner. In this role, you will lead in-market product commercialization, market analysis, customer product needs assessments, and day-to-day technical escalations in order to maintain the success of the customers. You will have the ability to absorb technical concepts and communicate them to technical and non-technical audiences, and interact with product management teams. You will be working with cross-functional teams to improve the products and operations. You will be familiar with online advertising and will have experience working within the industry.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Provide technical consulting services and guidance around Google Application Programming Interfaces (APIs) and tech platforms to help clients develop applications across ads products. Work with customers to understand underlying business tests. Manage relationships with business teams and customers, and leverage these relationships to identify and develop technical solutions that lead to more advertising business. Work across business, support and product teams to provide solutions to tests. Propose, design, create and present prototypes, demos and proofs-of-concept to audiences including engineers to marketing professionals. Leverage Google’s tech platforms and big data analytics systems to achieve the goals. 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.

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.