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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
＜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） 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.
- 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. 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 3天前展開
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
- 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 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.
- 1111南台灣職場小語
徵【助理】無經驗可、週休二日/固定休六日
- 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
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 今天展開
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 3天前展開
* 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
- 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
我們是一個專注在提供資料分析解決方案、顧問服務及平台開發的團隊，成員組成主要包含統計、資料探勘、機器學習、資料庫、數據分析網站平台開發、資料視覺化等背景。我們徵求有高度企圖心的軟體開發工程師來共同打造世界一流之產品，發揮資料科學的商業影響力 Responsibilities: • 網頁平台介面開發 • 網頁平台API 開發 • 分析資料整合與串接
- 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. 規劃伺服器產品自動化測試方案 2. 開發伺服器產品自動化測試程式 3. 負責導入實驗室或工廠自動化測試 4. 開發客戶或實驗室需求的軟體工具 5. 協助開發研發單位自動化測試需求
- 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. FMCW, Chirp 雷達演算法開發 2. DSP 訊號處理演算 3. 硬體語言程式 4. 因業務需求可能要出差或長駐海外
- 月薪30000元 桃園市平鎮區 工作經歷不拘 3天前展開
工作內容： 1. 協助設計與實施機電整合自動控制系統，包括硬體與軟體部件的整合與優化。 2. 進行自動控制系統的安裝、調試及設備測試，確保系統的安全與有效運行。 3. 協助維修與故障排除，包括進行技術診斷和提供即時支援。 4. 協助執行自動控制系統的數據收集、監控及分析，以提升系統性能與穩定性。 5. 開發與分析控制程式，進行程式模擬與除錯。 6. 撰寫與維護相關技術文件，包括操作手冊、測試報告及系統設計方案。 7. 配合工程師進行系統與監控設備的測試及調整。 8. 參與專案會議，提供工程技術支援，同步追蹤跨部門協作的專案進度。
就業保險產假產檢假安胎假家庭照顧假 -
