轉職熱搜工作

1.負責PCBA的新產品導入, 包括設計評審，工藝設計，程式和治具的準備等 2.記錄跟進新產品導入中的組裝問題和發現 3.解決製造組裝DFM問題並有效提升良率 4.具體製造問題的追蹤、調查、研究和分析. 5.跟進解決或上報相關製程問題 6.參加新技術導入製造 7.確保製造過程的優化，保證產出和品質

1.負责SMT設備及TEST治具相關的製程改善，提高生產良率及效率; 2.負责印幹招募培訓及出差外幹的日常管理及協調; 3.負責線體規劃，設備可行性方案評估/驗證/導入/運維; 4.負责產能/良率/成本等工程相關KPI指標達成; 5.負責工廠數字化相關專案實施規劃、專案管理和專案工作推進; 6.負責新產品人力、耗材、線體規劃等標準制定; 7.推動公司業務流程標準化、智慧化及業務流程改善創新。 8.維持良好的客戶關係,確保客户滿意度逐年提升。

＜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.

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.

＜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/Algorithm Models •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. •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. •Able to use the cutting-edge technologies to solve the practical problems ＜Skills＞ •Experience with any one of Machine Learning, Statistical Modeling, Deep Learning, 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. •Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection, performance metrics & visualization

＜About the job＞ As the AI Project Manager and System Analyst, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. In addition to developing intelligent applications via related AI and Advanced Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging AI applications based on different use cases and expand your tech skillset in this world-class company. ＜Job Description＞ *Type1：AI Project Manager Manages AI-focused projects from initial planning to delivery, ensuring alignment with business goals and promoting innovation. Responsibilities include coordinating cross-functional teams, allocating and optimizing resources, and maintaining project schedules and budgets. The role requires proactive problem-solving to address project challenges and mitigate risks while driving effective communication across departments. ＜Qualifications＞ 1. Over 5 years of experience in software project management, with a strong background in Agile methodologies. 2. Highly proactive, self-motivated, and accountable. 3. Willing and able to travel internationally for approximately 1-2 months per year. ＜Required Skills＞ 1. Strong understanding of the project lifecycle, including planning, execution, monitoring, and closure. 2. Proven ability to manage project timelines, budgets, and resources effectively, ensuring projects are completed on schedule and within budget.t. 3. Ability to communicate effectively with individuals from different departments and roles and coordinate resources. 4. Strong analytical and problem-solving skills, with the ability to swiftly assess complex issues and implement solutions. 5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) (Nice to have, but not necessary) 1. Familiarity with manufacturing processes 2. Possession of project management certifications such as PMP or Scrum. 3. Intermediate or above English proficiency in listening, speaking, reading, and writing. *Type 2：AI System Analyst Responsible for gathering and analyzing the requirements and contributing to designing, developing, testing, and deploying in all phases of the AI system development project lifecycle, as below： 1. Collaborate with business data analysts to analyze user requirements and ensure that requirements and acceptance criteria satisfy user needs. 2. Create a system requirement specification to elaborate on system design, system components/interfaces, and data schema. 3. Work with the multi-functional engineering team(e.g., data scientist, AI/ML engineer, data engineer, AI software engineer..., etc.) to ensure technical feasibility. 4. Drive usability and quality of the AI system developed and ensure all system requirements are well implemented. 5. Work on various enterprise AI system applications and problems, and analyze issues to identify root causes and prevention. 6. Create the Wireframes(or UI Prototypes) for AI system feature discussion with users and provide them to the UI/UX design team. 7. Author and update internal documentation; initiate and deliver requirement specification and system analysis/system design documentation. ＜Required Skills＞ 1. Practical experience in requirements gathering and analysis and change management 2. Experience co-working with front-end and back-end system development teams. 3. Strong analytical, verbal, and written communication, teamwork, and highly collaborative skills. 4. Experience with Microsoft Visio, Axure RP(or other wireframe tools). 5. Mastery of Microsoft Office programs (Word, Excel, PowerPoint) (Nice to have, but not necessary) 1. Mastery of QA methodology and problem-solving tools/techniques in software engineering. 2. Knowledge of AI/Data Science Tech(e.g., Machine Learning, Deep Learning, Statistics, Quantitative modeling techniques). 3. Practical experience in Relational DB (e.g., MS SQL, PostgreSQL) and ability to write SQL queries.

此為科學園區污水處理廠新建專案，歡迎具水電與儀電經驗者。提供外縣市同事免費優質宿舍！ 1.設備規劃採購發包 2.機械管線配置規劃 3.儀控電力規劃及採購發包 4.分項計畫書撰寫提送 5.施工現場工進規劃及介面協調 6.施工日報撰寫 7.業主及外單位溝通及協調，進度會議簡報 8.主管交辦事項

欣達環工在環境工程領域深耕多年，承接許多大型公共工程新建與營運專案，如污水處理、再生水處理廠以及焚化爐等專案。新竹寶山專案為科學園區汙水處理廠與再生水廠新建案。 正在招募機電工程師，歡迎具水電、機電、管線、設備、儀電、電氣、環控等經驗的專業人才投遞履歷，以及有提供優質一人一室宿舍給來自外縣市的同仁。 【職務說明】 1.配合工程施工規劃，執行電氣、儀控、建築水電、環控相關工程作業與各工項材料設備管理，並審核、送審施工圖與施工計畫書，確保技術資料與施作一致且品質符合設計與法規需求 2.請購儀電及建築水電環控相關設備與施工作業，並協助管理協力廠商履約進度 3.進行儀電及建築水電環控之完工檢測、試車成果彙整，以及完工竣工資料整備、確保資料完整 4.外水外電窗口、現場臨時水電設置及維護、臨時電盤管理 5.協助推動現場安衛管理，辦理機電施工期間的職業安全衛生稽查作業 6.協助組內作業與主管交辦事宜

1.系統設計開發人員 2.系統開發可行性評估、系統DFX檢查、系統排線繞線定義、定制系統需求規格書 3.精通英文、溝通協調能力

此專案為科學園區污水處理廠新建案。提供優質宿舍給外縣市同仁。 【負責管理組內人員 】 - 負責組內的工作規劃及分配，確保高效執行相關職責 - 負責組內人員的招募/培訓/日常管理，確保員工能力/績效與業務需求相符 【機電工程整體規劃與管理 】 依據工程契約規定，統籌辦理機電工程相關作業，整理、分析機電設計圖、規範、數量計算書及工程預算書等設計成果。 【設備材料請購與履約管理 】 管理機械設備、管線閥件材料設備、電氣設備、儀控設備、建築水電及環控設備之請購作業及協力廠商履約執行狀況。 【送審與施工界面整合管理】 管理機械、管線、儀電及建築水電環控等材料設備之送審作業，並統籌各項施工界面整合作業 【施工計畫與圖說整合管理 】 管理各工項之施工計畫書與施工圖送審作業，確保圖說內容與現場施作需求整合無誤 【施工安裝與品質查核管理 】 管理機械、管線、儀電及建築水電環控各項材料設備施工安裝查驗結果及施工品質查核成果，確保工程品質符合規範 【安全衛生稽查與推動 】 管理施工期間之職業安全衛生稽查作業，推動施工現場安衛管理制度落實 【測試與試車成果管理】 理機械、管線、儀電及建築水電環控設備之測試、單體試車、系統試車及功能試車成果，確保系統性能達標 【竣工資料整備與移交】 管理機械、管線、儀電及建築水電環控各工項完工竣工資料之彙整及備品、文件移交作業 【其他】 執行主管交辦事項