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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） 新竹市 工作經歷不拘 今天剛更新展開
1.光收發模組產品的開發設計,輸出原理圖、PCB加工文件、PCB貼片文件等設計文檔 2.光收發模組產品樣品製作,輸出驗證報告 3.引入新物料的技術評估,並驗證及導入 4.編寫項目文檔、技術專利及其他有關技術文檔 5.其他主管交辦事項
- 面議（經常性薪資達4萬元或以上） 新北市土城區 2年工作經驗 今天剛更新展開
1. PCBA、PCB、2nd Source 2. 2nd Source Library 3. Release PCBA BOM 4. Maintain SKU BOM 5. Release PCBA BOM(PST) 6. CIS 零件審核
- 面議（經常性薪資達4萬元或以上） 新北市土城區 2年工作經驗 今天剛更新展開
＜About the job＞： The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the data scientist, you‘ll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). ＜Job Description＞： ．Design, implement and refine advanced Statistical Modeling/Machine Learning/Deep Learning/Numerical Simulation/Optimization Algorithm Models(at least one of the fields) ．Ensure alignment of modeling initiatives with the requirement goal defined by key stakeholders and company objectives and identify new hypotheses for model improvements. ．Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc. ．Works closely with a team of data system analysts, business data analysts, data engineers, data platform architects, etc. ．Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others. ．Self-motivated, Result-oriented, and interested in applying quantitative methods to solving business and engineering problems. ＜Skills＞ ．Experience with any one of Machine Learning, Statistical Modeling, Deep Learning(Nature Language/Image), Econometric Modeling, Optimization Algorithm(OR), Numerical Simulation..., etc., model/algorithm building of the practical application in the industry. ．Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus). ．Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics. ．Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models. ．Big on finding the many insights based on the data and being passionate and patient about working with complex data.
- 面議（經常性薪資達4萬元或以上） 台北市中山區 工作經歷不拘 今天剛更新展開
1. 透過銀行及個人資源, 協助銀行開發新的潛在優質客戶。 2. 提供完整的教育訓練並透過團隊協作，快速學習熟悉銀行相關業務。 3.依據客戶的銀行需求，提供銀行帳戶權益、交易便利性、理財產品知識等方式，協助新開發客戶與銀行建立長期穩定往來關係。 4.透過緊密的團隊合作，提供客戶專業、客製化的服務體驗，滿足其所有銀行相關的需求。 ＜ 注意事項 ＞ 請至DBS官方網站，註冊帳號密碼後，點選「線上應徵」進行第二階段申請 豐盛理財開發專員-Treasures Acquisition Officer https://dbs.taleo.net/careersection/dbs_professional_hires_career_section/jobdetail.ftl?job=230000KO&lang=zh_TW
- 面議（經常性薪資達4萬元或以上） 新北市土城區 1年工作經驗 今天剛更新展開
1. 協助新產品開發＆替代料導入 2. 替代料驗証進度追蹤及記錄 3. 零件品質管理 4. 供應商關係管理 (供應鏈狀態/專業技術諮詢) 5. 零件系統與流程優化與管理,包含PCN/ECN/EOL管理 6. 2nd source零件資料庫維護 7. 溝通與協調零件驗證事宜, 報告給 Dell CE team 8. 2nd CM (contract Manufacturer) project (OEM)
- 月薪44000~68000元 台北市內湖區 1年工作經驗 今天剛更新展開
【工作內容】 1、負責與餐廳外場經理或相關部門主管聯繫、溝通與協調促銷活動相關事宜。 2、負責菜單的製作與菜餚的創新 3、菜單的定價與成本的控制。 4、負責整體廚房的運作，包括日常行政工作、人事安排與休假管理。 5、擬定食物製作標準工作流程及菜色品質的控制。 6、負責廚房的衛生與安全工作事宜。 7、隨時檢查各類設備是否運作正常，如冰箱、烤箱及冷凍庫。 8、督導檢查有關食品進貨、貯存及存量等問題 →享高薪 本俸+伙食+全勤獎金+免稅加班費+職務技能獎金+責任態度獎金=44000 月達成獎金+突破業績獎金+久任獎金=另計
全勤獎金分紅入股三節獎金禮品績效獎金 - 面議（經常性薪資達4萬元或以上） 新北市土城區 3年工作經驗 今天剛更新展開
工作內容： ＜About the job＞： We‘re seeking AI/ML enthusiasts with experience and skills in working and are passionate about extending AI/ML expertise. The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the AI/ML engineer, you‘ll join the AI/Big Data Analytics program/projects of headquarter IT and assist in building the model/algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd). ＜Job Type Option：＞ ．Type1: AI/ML Engineer (Engineering-Oriented) (1) Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2) Building the model lifecycle from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3) Execute efficient, scalable, automated processes for model development, model validation, and model implementation (4) Deploy the model to production and maintain/optimize the models by MLOps. (5) Experience in Azure Data Lake, Azure Databricks, and Azure Data Factory is preferred. (6) Experience in AWS SageMaker is preferred. ．Type2: NLP AI Engineer (1) Focused on NLP Algorithm/Machine Learning & Deeping Learning for Text. (2) Develop the Algorithm of NLP(Natural Language Processing)/ Computational Linguistics/Text Mining/Topic Modeling (3) Join the project to build the end-to-end NLP systems, from understanding the requirements to selecting training datasets to model, evaluate, and deliver/deploy NLP models. (4) Fine-tune LLMs and optimize and resolve issues related to LLM usage in production scenarios, enhancing reliability, accuracy, and performance. ．Type3: AI/ML Engineer (Analytics-Oriented) (1)Use Machine Learning/Deeping Learning/Analytical techniques to build models for internal different scenarios and requirements. (2)Build the model lifecycle, e.g., from data exploration to feature engineering to model evaluation and validity analysis capabilities. (3)Execute efficient, scalable, automated processes for model development, model validation, and model implementation. (4)Apply quantitative methods including but not limited to above tasks to solve business problems. (5)Being passionate and patient about working with complex data ＜Skills＞ ．Type1 & 3 : AI/ML Engineer(Engineering-Oriented & Analytics-Oriented) (1)Familiarity with any one of Machine Learning, Statistical Modeling, Deep Learning (Nature Language/Image/Time Series) model/algorithm building of the practical application in the industry. (2) Being familiar with Python Libraries, e.g., Numpy, Pandas, Scikit-Learn, SciPy, Matplotlib, etc. (3)(For Engineering-Oriented) Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark MLlib or PySpark or SparkR/SparklyR. (4)(For Analytics-Oriented) Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch/Keras. ．Type 2: NLP AI Engineer (1) Experience with text mining algorithms such as word segmentation, POS tagging, named entity recognition...etc. (2) Experience in algorithms and libraries of NLP(Natural Language Processing), especially in machine learning techniques applied to NLP, such as Text mining, Text classification, Information Extraction, Keyword Tagging, and content discovery. (3) Familiar with one general-purpose programming language (e.g., Python, Java, C/C++) (4) Experience manipulating and integrating unstructured, semi-structured, and structured data. (5) Excellent knowledge and demonstrable experience using open-source NLP packages such as NLTK, Word2Vec, Standford CoreNLP, SpaCy, and Gensim. (6) Knowledge of Open source LLMs, such as BERT, BLoom, LLaMA..., etc., and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX
- 面議（經常性薪資達4萬元或以上） 新北市土城區 2年工作經驗 今天剛更新展開
產品線: Server產品 1.Familiarity with VHDL/Verilog coding and FPGA/CPLD design flow is a must 2.Familiarity with Lattice/Altera/Xilinx EDA design tool. 3.Familiarity with FPGA/CPLD design in server application and multiple bus protocols including I2C / power sequence / SPI / LPC / SGPIO / I2C switch/ UART / PWM / eSPI 4.Strong HW and x86 architecture knowledge is a plus. 5.Fluent English written and verbal communication skills. 6.Integration and test experience 7. Highly self-motivated, able to work independently in a lab environment.
- 月薪44000~68000元 台北市大安區 1年工作經驗 今天剛更新展開
【工作內容】 1、負責與餐廳外場經理或相關部門主管聯繫、溝通與協調促銷活動相關事宜。 2、負責菜單的製作與菜餚的創新 3、菜單的定價與成本的控制。 4、負責整體廚房的運作，包括日常行政工作、人事安排與休假管理。 5、擬定食物製作標準工作流程及菜色品質的控制。 6、負責廚房的衛生與安全工作事宜。 7、隨時檢查各類設備是否運作正常，如冰箱、烤箱及冷凍庫。 8、督導檢查有關食品進貨、貯存及存量等問題 →享高薪 本俸+伙食+全勤獎金+免稅加班費+職務技能獎金+責任態度獎金=44000 月達成獎金+突破業績獎金+久任獎金=另計
全勤獎金分紅入股三節獎金禮品績效獎金 - 面議（經常性薪資達4萬元或以上） 新北市土城區 2年工作經驗 今天剛更新展開
CESBG 產品線:Server / Storage / Networking 1. 硬體電路線路圖設計及佈線審查 2. 硬體電路測試驗證、信號量測 3. 協助工廠端進行試產測試 4. 問題分析及解決方案能力
- 面議（經常性薪資達4萬元或以上） 高雄市前鎮區 1年工作經驗 今天剛更新展開
1. 以 AI/ML 專業完成滿足業務需求的演算法與相關功能 2. 規劃數據模型，進行統計與分析，開發資料視覺化圖表 3. 執行機器學習專案，設計、建置與上線
- 面議（經常性薪資達4萬元或以上） 新北市土城區 2年工作經驗 今天剛更新展開
CESBG 產品線: Server產品 1.技術可行性分析 2.硬體線路設計 3.硬體設計審查和BOM產出 4.審查 PCB Layout 5.執行開機測試和執行除錯
- 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 今天剛更新展開
Job Summary: The Statistician/Data Scientist will be responsible for all advanced statistical methods utilized for improving product quality, production yield, and factory effectiveness as well as finding the root-causes, along with other consulting services such as customer targeting and lead scoring in support of sales and marketing activities worldwide. Key Responsibilities: • Design, implement, and refine advanced statistical/Machine 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. • 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 predictive modeling techniques to improve decision-making to customers and stakeholders. • Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. • Provide direction, training, and guidance to less experienced team members.
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