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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
- 年薪1000000元 亞洲其它地區 工作經歷不拘 2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 1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 今天展開
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 今天展開
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.
- 年薪1000000元 新北市土城區 工作經歷不拘 今天展開
1. Performing reliability testing including Mechanical, Environmental, IPX and chemistry tests...etc. 2. Reliability test equipment customs clearance, setup, calibration, maintenance and test data analysis 3. Arranging technician to perform every reliability tests, track the test schedule, collect the test datas and compose test report. 4. Providing reliability test report and highlight reliability test issues 5. Optimizing the reliability test methods and test specifications 6. Training on testing skills and ensure the SOP has been followed strictly; 7. Follow-up and push-up with the test to meet the schedule;
- 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 1天前展開
1. 通訊設備嵌入式系統研發 2. IP network通訊協定研發 3. 物聯平臺研發(LPWAN GW, module/sensor, IoT platform) 4. 數據平臺開發(數據分析,演算法規劃,解決方案規劃/數據處理,資料串接/視覺化)
- 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 今天展開
1.AIOT系統管理開發,應用於智慧工廠(智能安防與流程監控) 2.負責管理平台之 UI/UX 設計開發 3.串接後端 API，實現數據即時同步與高互動的使用介面 4.開發儀表板，將數據與分析結果以圖表直觀呈現，輔助決策 5.優化大量數據呈現時的瀏覽器效能，設計多維度的數據篩選與查詢機制
- 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！
- 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 2天前展開
1.董事會及功能性委員事項 2.股東會年報/議事冊編制 3.關聯公司董事會/股務事務 4.重大訊息公告 5.董事會績效評鑑事宜 6.ESG例會G小組考核指標回覆
- 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 今天展開
Job Summary: The Machine Learning engineer will be responsible for computer vision related projects, particularly in advanced image/video processing analyses and utilized for improving product quality, production yield, and factory effectiveness, along with other R&D activities such as algorithm designs, prototype developments and experimental designs. Key Responsibilities: • Design, implement, and refine advanced Machine Learning/Deep Learning models to support product quality improvement, increasing yield and factory effectiveness. • Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements. • Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization. • Apply deep learning and computer vision techniques, such as image classification, object detection, and support integration of models into tools for use by product engineers and business analysts. • Engage with customers to develop and customized data analytics solutions to address special needs. • Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner. • Communicate the application and benefits of using various modeling techniques to improve decision-making to customers and stakeholders. • Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. • Research and evaluate new data technology and state-of-art algorithms, and keep up to date with market trends and competitive insights.
- 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 今天展開
團隊組成 (Team): 前身是提供企業內部資料分析顧問服務以及打造客製化資料系統服務團隊之資料工程部門，擁有多年經驗。目前積極規畫與開發自有的資料處理平台，支撐高自由度、高效能、可靠並可擴展之資料處理/分析流程，解決實務上欲打造一套資料系統的難題。 工作內容 (Responsibilities): 1. Software Engineering: • Produce specifications and determine operational feasibility • Write well-designed and testable code for building an efficient and stable system • Troubleshoot, debug, maintain, and upgrade existing systems 2. Data Platform Development & Data Engineering: • Module development and integration for building a modern data platform • Efficient data flow/pipeline module design and Implementation • Work closely with data science team to integrate ML/statistical models and analytical workflow
- 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 2天前展開
1. 雲服務之網路架構規劃、設計 2. SDN、NFV之規劃、導入 3. 識別及解決網路問題 4. 網路設備管理、維護 5. 客戶應用上雲之網路架構諮詢、規劃
- 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 今天展開
* 雲平台產品的售前與售後支持 * 提供維運團隊技術支援 * 對用戶需求做分析及提供解決作法 * 對團隊內部及合作單位進行教育訓練
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