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1. 有前端框架Vue.js 經驗2. 熟悉golang3. 有資料庫、資料結構與查詢優化經驗（MongoDB、BigQuery）4. 有Docker、Kubernetes經驗5. 有雲端平台部署經驗（GCP、AWS、Azure等）6. 有資料倉儲概念（OLAP/OLTP）

以「釋放製造業的潛力」為使命，致力於推動製造業的數據平台產品。 2022 年透過機器學習等多種技術，將製造業中極為重要的圖面數據進行結構化，並與各類資訊連結，讓圖面能夠作為資訊資產被靈活運用。該產品目前已被日本國內眾多大型製造商與加工公司廣泛採用，成長迅速。 自 2023 年起，我們也開始向海外市場拓展，包括美國、泰國、越南等地，加速推進全球佈局。 未來，我們將不只限於圖面資料，而是致力於透過科技手段，重現與整合製造業的專業知識，實現跨部門、跨企業的整體最適化。【工作內容】 MLOps 工程師將與機器學習工程師密切合作，負責建構、維護與營運能夠穩定提供機器學習與數據科學模型的系統基礎架構。此外，您也將引領建立數據收集管線，並推動數據資產活用。 以下為工作內容示例，實際工作項目不僅限於此，入職後的工作範疇將依據您的技術能力、專業知識與經驗共同討論決定： 建構支援機器學習模型推論的 API 與 Batch 運行環境，及使用 CI/CD 進行部署的系統架構 在正式環境中執行監控、效能調校等提升 Site Reliability 的相關開發 使用 Vertex AI 或 Argo Workflow 建立、維護與運營機器學習處理流程（Pipeline） 最佳化推論與訓練平台的成本效益 與建模人員、平台工程團隊進行有效溝通，並將相關流程進行文件化與制度化 ■ 使用語言 前端：TypeScript 後端：Rust、TypeScript、Python ■ 框架與函式庫 前端：React、Next.js、WebGL、WebAssembly 後端：Rust（axum）、Node.js（Express、Fastify、NestJS）、PyTorch ■ 基礎架構 Google Cloud、Google Kubernetes Engine（GKE）、Anthos Service Mesh ■ 資料庫／資料倉儲 CloudSQL（PostgreSQL）、AlloyDB、Firestore、BigQuery ■ API GraphQL、REST、gRPC ■ 監控與效能追蹤 Datadog、Sentry、Cloud Monitoring ■ 環境建置 Terraform ■ CI/CD GitHub Actions ■ 認證管理 Auth0 ■ 開發工具 GitHub、GitHub Copilot、Figma、Storybook ■ 團隊溝通工具 Slack、Discord、JIRA、Miro、Confluence

實習工作內容1.協助視覺化儀表板建置2.協助產品議題分析作業3.協助數據前置文書作業實習配合方式 配合期間： 需配合 6 個月或 1 年。到班時數： 每週到班 3 天（或共計 24 小時）以上。薪資福利： 時薪 196 元，並提供餐食補助。公司地點： 新北市五股區（靠近捷運新北產業園區站，交通便利！）

・從資料庫中擷取並分析大型資料集・協助將模型部署至生產環境系統中，並確保其穩定性・運用資料探勘（Data Mining）與機器學習技術，設計並實作軟體系統與工具，以達成內部流程自動化・與跨部門團隊合作，提供技術見解，協助團隊了解機器學習的應用與限制

1. 建置與維運遊戲數據 ETL / ELT 排程。2. 與分析、PM、營運合作，提供即時數據查找並建置固定排程或後台功能。3. 進行資料品質檢查、異常偵測與基礎探索分析。4. 開發與維護數據後台、API 與資料平台相關功能。【專業條件】1. 熟悉至少一種：PHP（尤佳） / Perl / JavaScript / Python。2. 熟悉 MySQL、BigQuery 或其他關聯式資料庫與 SQL。3. 熟悉 Unix-like 環境與 Git 基本操作。【加分條件】1. 具備 C、C++、Java 開發經驗者佳。2. 具備遊戲數據、後台開發或 ETL/ELT 經驗。3. 有 BigQuery 查詢效能優化與成本管理經驗。4. 使用過 dbt、Airflow、Kubernetes、Docker 或相關資料管線工具者佳。5. 具備資料分析或營運數據應用經驗者佳。【行為特質】- 對遊戲產業、遊戲數據與資料平台有高度興趣。- 具備良好團隊協作能力與技術溝通能力。- 主動負責，能獨立排查問題且追求資料正確性與平台穩定度。- 喜歡打造工具、改善流程，提高效率與品質。★想要更加了解慧邦科技嗎？歡迎到gamesofa careers看看！https://www.facebook.com/GamesofaCareers/

At MoMo, we are not just processing transactions; we are shaping the future of finance in Vietnam. We are seeking a visionaryAnalytics Engineering Managerto bridge the gap between complex data infrastructure and actionable business insights. In this pivotal role, you will lead the charge in defining our data modeling standards, ensuring data quality, and empowering our stakeholders with a robust, self-service data platform. If you are passionate about applying software engineering best practices to data analytics and leading high-performing teams, we want you to build the future with usMô tả công việc1. Team Leadership Culture:Lead, mentor, and grow a team of talented Analytics Engineers. You will be responsible for their career development, fostering a culture of continuous learning and technical excellence.Champion the "Data as a Product" mindset, ensuring that datasets produced by the team are treated with the same rigor and reliability as customer-facing software.Drive agile processes within the data team to ensure rapid delivery of value while maintaining high standards.2. Technical Strategy Architecture:Architect and maintain a scalable data modeling layer (using tools likesemantic) that transforms raw data into reliable, documented, and accessible datasets.Define and enforce coding standards, version control practices (Git), and CI/CD workflows for analytics code.Collaborate with Data Engineering to optimize data warehouse performance (e.g., BigQuery/Lakehouse) and manage compute costs effectively.3. Data Quality Governance:Implement automated testing and observability frameworks to detect data issues before they impact downstream users.Establish clear data lineage and documentation to democratize data access across the organization.Ensure strict adherence to data privacy, security, and compliance standards—a critical requirement in the Fintech sector.4. Cross-Functional Collaboration:Partner closely with Product Managers, and Business Leaders to translate complex business requirements into technical data solutions.Act as a technical advisor, helping stakeholders understand the "art of the possible" with our data stack.Yêu cầu công việcExperience:5+ years of experience in the Data domain, with at least 2 years in a leadership or management role.Technical Mastery:Expert-level SQL skills and deep understanding of query optimization.Hands-on experience with Cloud Data Warehouses (Google BigQuery)Workflow Orchestration:Hands-on experience with orchestration tools such asAirflow, n8n.You should be capable of designing complex, dependency-aware pipelines that are resilient to failure.BI Semantic Layer Integration:Deep understanding of how data is consumed by BI tools (e.g.,Looker...). Ability to design the 'Semantic Layer' to ensure consistent metrics across the organization.Soft Skills Culture FitStakeholder Management:"Ability to manage expectations with C-level executives and negotiate priorities effectively in a fast-paced environment."Talent Acquisition:"Experience in recruiting top-tier engineering talent and building a diverse, high-performing team from the ground up."

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: WorldQuant is seeking an exceptional individual to be a key contributor to the maturation phase of several essential software systems currently in firmwide use. These systems are an important part of the research and production trading pipelines. Your mission will be to relentlessly improve their performance, scalability, reliability and survivability while continuing to develop features. Key technologies for the products include: Java (and to a lesser extent Python) Distributed systems Kafka PostgreSQL BigQuery What You’ll Bring: Computer Science degree (advanced degree or equivalent experience preferred- particularly with storage technologies or distributed systems) Extensive experience as a key contributor in the development of complex software systems (leading financial services firm experience preferred- particularly involved in high performance systems) Deep expertise in distributed systems, with hands-on experience building scalable, resilient, mission-critical services Strong experience with data-intensive architectures using technologies such as Kafka, PostgreSQL and/or BigQuery, with a track record of performance optimization and reliability in production 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.

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

We are seeking an experienced and highly analytical Lead - Data Analytics for our Financial Services Division.In this critical role, you will be the driving force behind transforming complex financial data into strategic assets. You will lead a team to uncover deep, actionable insights that directly influence business strategy, product innovation, customer lifecycle management, and overall profitability.If you are passionate about using predictive modeling, machine learning, and statistical analysis to solve high-impact business problems in the financial world, this is the role for you.Mô tả công việcLeading a team of 2-3 data analysts to deliver high-quality analysis and insights.Drive the adoption of machine learning and AI Agents to solve complex business challenges.Setting strategic direction for the team and prioritizing projects based on business objectives.Establishing best practices and standard operating procedures for data analysis and reporting.Collaborating with senior management to align data analytics initiatives with business goals.Yêu cầu công việcMinimum Qualifications (education):Bachelor's degree in a quantitative field such as Statistics, Mathematics, or Computer Science.Experience:At least 4-5 years of experience in data analytics, preferably in the financial services, banking sector/ fintech product with demonstrated leadership capabilitiesEssential skills:Experience with BI/analytics tools (Google BigQuery, Data Studio..)Proficiency in SQL, Python is a mustDemonstrated experience building and deploying various machine learning modelsAdvanced proficiency in statistical analysis, and data visualization.Solid understanding of fintech operations, products, and regulatory requirements.Strong communication and interpersonal skills to collaborate with cross-functional team members and explain findings clearly to internal team as well as stakeholdersProven ability to build and manage a high-performing team in a fast-paced environment.Personal characteristics:Do whatever it takes to get the job doneStrong leadership qualities and ability to inspire and motivate team members.Strategic thinker with a results-driven mindset.Commitment to fostering a collaborative and inclusive team culture.

Data 團隊是公司數據戰略的核心引擎，肩負著建構企業級數據基礎設施的重要使命。我們打造的數據中台每日處理數億筆交易數據，連接數百個業務數據源，構建高效能的資料管道。通過嚴謹的數據治理，我們不僅確保數據的品質與一致性，更將複雜的數據轉化為強大的決策工具，為產品創新、業務分析與商業戰略提供實時、精準的數據洞察。在這個快速變化的數據環境中，你將有機會學習最新技術、挑戰自我，並直接為公司的決策提供強大的數據支持。【工作內容】1. 具備Java 或 Python 程式設計2. 熟悉SQL DDL、DML語法，理解Index、Partitioning、Sharding等原理3. 具備關聯式資料庫建模與資料處理經驗(ex. MySQL,PostgreSQL等)4. 具備ETL服務、Data Pipeline建置經驗5. 可配合輪值on call，處理第一線緊急問題1. 具備大流量即時交易處理資料經驗 2. 有雲端資料庫與工具使用經驗(ex. GCP BigQuery, Spanner, Pub/Sub)3. Kubernetes部署與容器化使用經驗4. Change Data Capture(CDC) pipeline開發經驗(ex. Debezium, Apache Kafka)5. Data Warehouse建置經驗6. 分散式資料處理經驗: 例如: Apache Spark, Apache Flink7. 有dataform 或 dbt使用經驗8. 有CI/CD經驗