轉職熱搜工作

1.設計網路安全系統，撰寫防火牆及電腦病毒防範軟體 2.用者電腦故障排除,軟體安裝、設定、系統操作，與分析網路資料傳輸與網路安全3.架構等特性，以設計、發展及維護網際網路系統之正常運作 4.安裝、修改、偵錯各種網路安全系統，以防制網路駭客入侵特定之網路 5.支援網路安全系統程式設計工作、及網路及通訊系統整合 6.對網路安全系統之運作、管理及周邊設備之採購作業，提供技術性建議

1. 參與產品開發，規劃及執行軟體設計分析、程式設計與技術規格文件撰寫。 2. 韌體設計及開發進度規劃控制與時程管理 3. 分析並解決產品/專案開發過程中相關的技術問題 4. 熟悉微處理器MCU相關開發及開發環境建立。 5. 熟悉Windows應用程式與UI界面開發（具Visual Studio C#或C,C++實務經驗尤佳） 6. MCU(ARM-Cortex M0/M3)開發韌體，使用IAR工具 C語言

1.軟體客製化開發、程式coding、JAVA、DB(SQL、Server、Oracle)、Web 2.主要開發內容:訂單管理系統、應收帳款系統、人資管理系統...等等。 負責軟體之分析、設計以及程式撰寫。 3.規劃、執行與維護產品系統。 4.工作主動積極，務必要有良好的團隊合作精神之工作態度。 5.不論有沒有經驗,只要您對程式開發有熱忱,歡迎加入本公司。

1. 規劃測試計畫與測試案例（test case）。 2. 測試與驗證系統功能、相容性、效能、壓力承載、可靠度等。 3. 建立測試環境，撰寫、維護、改善測試程式。 4. 分析測試資料、釐清問題、提出改善建議，並撰寫測試報告。 5. 維護相關測試設備。 6. 測試與驗證客戶的問題。 7. 發行與管理測試相關文件。 8. 撰寫使用手冊、安裝手冊或其他客戶支援相關文件。

1. 協助工程師進行拆圖及文件整理。 2. 協助執行專案相關技術資料建立。 3. 機構設計與可靠度驗證 4. BOM與技轉文件製作。 5. 主管及工程師交辦事項。 熟AutoCAD、SolidWorks繪圖軟體尤佳

1.負責工程設計、監造及測量 2.土木、水利、水土保持規劃設計等相關實際工作經驗者佳，無經驗亦可 3.溝通協調能力佳，願意學習者 4.須具備小客車駕照 5.Word、Excel、powerpoint及AutoCAD等軟體等需會使用 6.年終獎金+績效獎金1.5個月以上

1.協助水電工程施工圖及竣工圖圖面整理。 2.會Auto CAD和Office軟體操作 3.協助材料估算管理 4.協助工地各項請款 5.協助工地其他主管交辦事項 ※本公司為水電工程產業，有住宅式水電工程相關經驗者佳 ▲非營造工程非營造工程非營造工程 ▲非廠房、醫院、百貨大樓

＜About this job＞ You will join an advanced artificial intelligence department as the need for Al model solutions rapidly grows. We are expanding our team and looking for a talented Full-Stack Engineer passionate about building highly interactive applications and scalable backend systems for various use cases and expanding their tech skillset in this world-class company. ＜Job Description＞ As a Full-Stack Engineer, you will play a crucial role in designing, developing, and maintaining both the frontend and backend of our applications. You’ll be responsible for creating user-friendly web interfaces, developing robust backend APIs, and ensuring seamless deployment and service integration. If you‘re proactive, team-oriented, have strong problem-solving skills, and enjoy building reusable and scalable code, we’d love to meet you! ＜Key Responsibilities＞ - Develop responsive and interactive frontend web applications using JavaScript and Vue.js. - Design and implement backend APIs to support frontend and other interfaces using Java, Python, and related technologies. - Build applications and schedule tasks based on client and project requirements. - Design and implement modular, high-flexibility components and scalable systems to maximize code reusability and adaptability. - Set up and configure essential services such as databases, NginX, and Docker environments. - Ensure smooth deployment processes by utilizing CI/CD concepts and automation. - Collaborate closely with team members to improve workflows and optimize the development cycle. ＜Required Skills＞ - Frontend: Strong proficiency in JavaScript and Vue.js with experience in building dynamic and interactive UIs. - Backend: Solid understanding of Java and Python for API development. - Databases: Experience working with SQL (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB). - Software Design: Proven expertise in creating modular, reusable code with high adaptability and flexibility for scalability. - Tools and Technologies: 。Docker and Git for containerization and version control. 。NginX for web server configuration and management. 。Familiarity with CI/CD concepts and automation techniques to streamline deployments. - Soft Skills: Strong communication skills and a team player, able to collaborate effectively across departments. - System Architecture: Understanding of distributed systems and hardware architecture concepts.

1.AOI 或 行為辨識領域算法開發，熟悉切割、定位、分類AI模型；具備：姿態辨識、追蹤算法、非監督式分類、非監督切割、非監督定位等模型佳 2.具備工業AI檢測與安保攝像頭行為辨識經驗 3.實現外觀檢、異常診斷、人因工程分析等功能

＜About the job＞ As the Senior Data Engineer or Data Architect, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. As well as developing intelligent applications via related AI and Big Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging applications based on different use cases and expand your tech skillset in this world-class company (Fortune Global 500, 20th). ＜Job Description＞ *Type 1：Senior Data Engineer Responsible for acquiring data using API, Web scraping, or other data accessing protocol/scripting and developing the ETL data pipelines, and the data aggregation systems. Using software development experience to design and build high-performance automated systems. As below: 1. Data Processing (1)Data ETL(Extracting/Transforming/Loading) process engineering and querying from relational data management(such as SQL Script). (2)Building systematic data quality processes and checks to ensure data quality and accuracy. (3)Solid coding experience in Python or Java. 2. Data Pipeline Development (1)Develops a data integration process, including creating scalable data pipelines and building out data services/data APIs. (2)Create a data processing automation and monitoring mechanism by optimizing the data pipeline process. (3)Experience with dataflow/workflow/management tools, such as Apache Nifi, Apache Airflow, Azkaban, etc., is preferred. 3. Data Crawling (1)Build scalable tools that automate web crawling, scraping, and data aggregation from various web pages using frameworks such as Scrapy. (2)Accessing data from REST APIs, particularly in parsing data in disparate formats such as JSON and XML, and developing automated engineering. (3) (Nice to Have) Knowledge of server-based front-end/UI technologies, including Vue/React and HTML/CSS, is preferred. *Type 2：Data Architect Responsible for designing, implementing, and maintaining scalable and reusable system architectures/data architectures for complex data structures and large data in data science and AI projects. As below: 1. Data Schema Design (1)Collaborate with the team to design DB/Table Schema and Data Schema. (2)Consolidate the requirements and use data engineering tech to design and implement a robust Data Mart. (3)Experience handling all kinds of structured/semi-structured/unstructured data and streaming data is preferred. (4)Hands-on experience with Dimensional Data Modeling(Column-based data warehouse) or NoSQL Schema design. 2. Data Platform Architecture (1)Design and build data infrastructure/platform components to support complex data pipelines ingesting various data from multiple internal and external data sources and processing. (2)Familiar with Big Data frameworks and processing technologies, ex: Hadoop, Apache Spark, NoSQL ...etc. (3)Familiar with AZURE or AWS cloud data services(hands-on experience with cloud infrastructure will be a plus) (4)Familiarity with the Linux OS environment, the Shell Scripting, and infrastructure knowledge. (5)(Nice to Have)Experience with declarative infrastructure/container technologies, such as Docker and Kubernetes (k8s/k3s). (Nice to Have).