清大專區

產品：Gateway/STB/OTT 1. 產品解決方案可行性研究 2. 產品硬體規格制訂與報價 3. 產品硬體線路設計與測試 4. 產品法規認證與生產支援 5. 專案計畫會議討論 6. 產品2nd source導入

1. Product EMC Design and Verification test. 2. Product EMC Issue Analysis and Debug. 3. Product EMC World-wide Certification.

CESBG 產品線: Server產品 1. 伺服器BOM管理及維護 2. 存儲器BOM管理及維護 3. 電子元件PCN 管理作業

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.

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

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)

＜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.

1.測試程式開發 2.自動化測試系統整合 3.測試良率改善

Hardware circuit design, layout, pilot run and debug of telecomm / datacomm products. (STB/Cable Modem/xDSL/VoIP/WLAN/WIMAX/IP Phone/Video Phone)

1.硬體電路設計與規劃 2.產品測試與驗證 3.產品規格評估規劃 4.產品量產導入規劃 5.專案解決方案研究

1.設備故障維修及機台性能維護, 保證設備生產效率; 機台測試良率維護與提升。 2.記錄跟進新產品導入中的組裝問題和發現對具體問題的調查、研究和分析. 3跟進解決或上報問題 4.參加新技術測試的實施 5.確保製造過程的優化，保證產出和品質

1.產品製造不良品分析&.DFM分析和改善 2.新產品導入及良率改善&Golden Sample 驗證 3.OBA退貨原因分析及改善 4.領導工程問題的解決 5.產品cost down與品質改善專案

1. 新產品導入測試程式&生產設備治具開發準備 2. 產品Image和function驗證& 試產機台Setup 3. 試產治具耗材設備準備 4. CCD&程序撰寫與驗證 5.試產良率監控,異常故障分析處理及反饋,測試數據的收集.産線操作員的培訓.

1.BIOS 研發時程及可行性評估 2.BIOS 規格的制定 3.BIOS 的研發、更新、維護

1. 伺服器BIOS軟體開發及維護 2. 客戶規格審閱 3. 專案問題分析及解決

1.BIOS development engineering feasility estimation 2.BIOS product specification definition 3.BIOS engineering specification creation 4.BIOS development 5.BIOS debug and mantainance

1.System BOM 2.System Spec 3.System Assembly SOP 4.System Component Approval Sheet 5.System NPI Support (系統階設計、BOM規劃、組裝規劃、Label 規劃、FRU規劃、Cable設計)

Hardware circuit design, layout, pilot run and debug of telecomm / datacomm products. (xDSL / Router / Switch)

Owner of the Mobile Broadband (5G) Product Line. As the manager of all Mobile Broadband Product Managers, you drive the the creation and execution of an enticing solutions roadmap based on end user needs, market & technology trends. Our 5G solutions range from Mobile Routers and Indoor Gateways to Outdoor Modems and 5G Cameras. As the head of Mobile Broadband Product Management, you target a winning combination of customer satisfaction and profitability.

1.Experience in signal integrity simulation of system boards and lab instruments, including VNA and TDR. 2.Experience with PDN characterization and trade off performance & cost. 3.Excellent communication and presentations skills are mandatory