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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。

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

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

Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. 3 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience with database administration techniques or data engineering, and writing software in Java, C++, Python, Go, or JavaScript. Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams. Preferred qualifications: Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments. Experience working with Big Data, information retrieval, data mining, or machine learning. Experience in building applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow). Experience architecting, developing software, or production-grade Big Data solutions in virtualized environments. About the jobAs a Data Engineer for the Analytics, Insights and Measurement (AIM) team, you will Help customers, grow their businesses through trusted analytics, insights and measurement that ensure user privacy.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.Responsibilities Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders. Design, develop, and maintain reliable data pipelines to collect, process, and store data from various data sources. Implement data quality checks and monitoring to ensure data accuracy and integrity. Collaborate with cross-functional teams (data science, engineering, product managers, sales and finance) to understand data requirements and deliver data solutions. Enhance data infrastructure for performance, efficiency to meet evolving business needs. 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.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.Job Description Astera labs is seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions. Basic Qualifications Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field. Advanced degrees in data science or Machine learning / AI - Advance. Proficiency in programming languages such as Python, R, or MATLAB. Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi. Experience with data visualization tools such as Tableau, Matplotlib, Graphana. Strong analytical and critical-thinking skills to identify patterns and outliers. Customer-obsession, Think and act with the customer in mind! Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe. Entrepreneurial, open-minded behavior and can-do attitude. Required Experience Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn). Proven ability to manage multiple tasks and meet deadlines. Preferred Experience Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages. Master’s degree in a relevant field. Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing. Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of engineering design tools and processes. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

🏢 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

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc). Experience developing or launching products or technologies within databases, analytics, big data, or a related area. Experience in Apache Spark for data processing. Preferred qualifications: Experience driving product goal, go-to-market strategy, and design discussions. Experience working on developer tools or open source projects. Experience with data analytics tools (Hadoop, Spark), project involvement, and committership. Ability to drive results in collaborative, cross-functional environments with minimal oversight. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will be responsible for Google Cloud Platform (GCP) Data Analytics' big data analytics portfolio for Spark and other open source components in Dataproc and Serverless Spark.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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 Drive the new set of innovation and growth powering Open Source Analytics at scale on Google Cloud. Work closely with customers, field and partners to address unmet need. Partner with business development and GTM teams to build growth strategies. Partner with engineering, research and key stakeholder teams to align roadmap and Objectives and Key Results (OKRs). 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 7 years of experience in project management and technical solution delivery. Experience in one or more of the following: Data Center Infrastructure, Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE. Ability to travel up to 50% of the time as needed for client engagements. Preferred qualifications: Master’s degree in Computer Science, Engineering or equivalent practical experience. Experience in one or more of the following specialized domains: data center infrastructure (e.g., deployments, upgrades and reliability), advanced networking and storage (e.g., system design of load balancers, firewalls, VPN, and production-grade storage), accelerated computing (e.g., Kubernetes, GKE, EKS, and GPU workloads). Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations. Excellent communication, writing, presentation, and problem-solving skills. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.As Senior Cloud Integration Architect, you will work directly with Google’s most strategic customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge 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 Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions, become a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to customer requirements and implementation best practices. Work with internal specialists, product, and engineering teams to package approaches, best practices, and implement lessons learned into thought leadership, methodologies, and published assets. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. Travel approximately 50% of the time for client engagements. 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.