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職缺名稱公司名稱上班地點工作經驗更新薪資待遇
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 4天前展開
1. 大型連線自動化設備機構方案規劃和技術指導； 2. 點膠雷射&貼膜組立等自動化設備機構方案評估及結構設計； 3.點膠雷射及貼膜組立等設備的核心工藝實驗，驗證，及可行性報告產出； 4. 現場設備的調試優化改善及異常處理 5.機構標準化文件的制定與發行 *須配合職務需求出差派駐
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 3天前展開
1.設備控制系統軟體需求分析工作 2.運動控制方案硬體框架搭建 3.運動控制方案軟體框架搭建開發 5.專案前期參與軟體需求分析 6.流水綫調度演算法、運動控制演算法研發及功能測試計畫制定 7.洞悉業界軟件應用技術動向及發展趨勢，制定軟件應用改進完善計劃 8.設備控制系統軟件功能測試、現場設備重大問題調試等各種技術支持工作 9.制定軟件功能測試方案 *須配合職務需求出差派駐
- 面議（經常性薪資達4萬元或以上） 東南亞越南 工作經歷不拘 4天前展開
負責產品: 消費電子、網通產品 1. 協助客戶新專案 NPI 機構零件開發 2. 機構件 DOE/FAE 報告分析與追蹤 3. 協助產線生產異常問題分析 4. 帶領越南當地工程師執行組織任務(依能力而定)
- 月薪32000元 新竹縣寶山鄉 工作經歷不拘 1天前展開
1.將顧客使用之餐具器皿，操作洗碗機洗滌 2.將餐具烘乾後歸位，做好餐具盤點及管理 3.餐廳公共區座位清潔、桌面擦拭 4.餐廳垃圾免洗餐具回收整理 5.主管交辦事項
年節獎金年終獎金禮品員工團保免費供餐 - 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 4天前展開
1.研發(量產)階段工廠端新機種機構問題收集、分析、追蹤及改善。 2.產品機構材料問題的分析、處理及品質的改善。 3.配合產品需求，進行治具(設備)的設計、開發、評估與規劃。 4.產品設備的開發、導入、維護及改善。
- 面議（經常性薪資達4萬元或以上） 新竹市東區 工作經歷不拘 3天前展開
1. 網通產品機構設計 2. 機構圖檔設計審查(包含干涉檢查、公差分析) 3.設計提案改善與設計驗證 4.生產問題解決和對策導入 5.各階段試產不良分析與改善
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 4天前展開
1. 產品結構靜態強度分析 (產品組裝、卡扣強度模擬) 2. 產品結構動態強度分析 (落下、衝擊模擬) 3. 跨部門討論並解決產品結構問題 4. 結構分析結果報告之撰寫
- 1111南台灣職場小語
【推薦給你】可週休二日(或固定休六日)、月薪３萬起工作機會！
- 月薪45000~60000元 新北市土城區 工作經歷不拘 3天前展開
1.設計與最佳化電子產品組裝流程 2.SOP編寫與規格制定 3.產品組裝治具設計與驗證 4.導入半自動或全自動設備至組裝流程 5.協助客戶分析組裝/設計問題
- 年薪1000000元 亞洲其它 工作經歷不拘 今天展開
1.設計與最佳化電子產品組裝流程 2.SOP編寫與規格制定 3.產品組裝治具設計討論與驗證 4.導入半自動或全自動設備至組裝流程 5.協助客戶分析組裝/設計問題
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 4天前展開
＜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).
- 面議（經常性薪資達4萬元或以上） 新北市土城區 工作經歷不拘 3天前展開
1. 了解使用者需求，主要負責PLM系統的導入，實施，配置。 2.使用Windchill軟件，利用PLM標準解決方案，根據業務需求，完成PLM產品需求定義，解決方案編寫及產品實現。 3. 負責PLM系統軟件設計，開發過程中相關文檔的主導和編寫。 4. 根據PLM系統部署和性能的情況，進行有效的代碼優化和系統性能調優等IT維護工作。 5.熟悉PLM全文搜索引擎，為文件和代碼使用加載文件進行部署 6.完成異構系統集成，如CAD,Creo等
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 工作經歷不拘 3天前展開
Job Summary: The video processing engineer will be responsible for maintaining and configuring RTSP streaming servers, deploying and customizing inference servers for intelligent video analysis. This role involves a blend of software development, system configuration, and performance optimization tasks, particularly focusing on real-time video processing and streaming technologies. Key Responsibilities: • Maintain the RTSP streaming server, including deployment on various machines, configuring MediaMTX components for optimal streaming parameters, and extending RESTful API for video streaming functionalities. • Manage the DeepStream inference server, including API maintenance, parameter configuration for various use cases, customization of DeepStream modules, and integration of computer vision techniques. • Ensure effective communication with other teams to facilitate collaborative project execution. • Engage in continuous learning and research on emerging video processing technologies to enhance overall performance. • Conduct performance testing across different GPUs and hardware specifications to ensure optimal operation.
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 工作經歷不拘 3天前展開
Job Summary: • The engineers should have comprehensive knowledge of AI Large language models, such as GPT-4, and their underlying mechanisms, including an understanding of natural language processing, machine learning, and neural networks. Key Responsibilities: • Construct, train, and fine-tune large language models to meet specific organizational requirements and goals. Implement strategies for AIGC to create high-quality content. • Integrate AI technologies into existing products and services, ensuring they align with business objectives and enhance user experience. • Work collaboratively with cross-functional teams and provide technical guidance to non-technical members. Stay updated with AI advancements and educate team members on new developments. • Continuously monitor the performance of AI models, making adjustments and improvements based on data analysis and business needs. • Maintain effective communication with other teams to ensure collaborative project success. • Engage in ongoing learning and research to identify and implement new and appropriate Large Language Model technologies to enhance overall efficiency.
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