轉職熱搜工作

1.物料進料檢驗及產品出貨檢驗 2.需使用顯微鏡及相關儀器進行檢測 3.DCC系統文件管理與維護作業 4.儀器管理與維護作業 5.其他主管交辦事項 ※ 月薪待遇外，加班費、績效獎金、職務工作津貼等，將依公司規定加給。

Technical 1. Responsible for providing quality repair and preventive maintenance service of company equipment at customer sites. May install or relocate customer equipment and perform associated start-up and check-out procedures under supervision 2. Perform on-site preventive maintenance. Order and replace defective units, components or parts as appropriate. 3.Troubleshoot equipment problems and conduct diagnostic procedures to isolate problems and take steps to minimize downtime or system interruptions and eliminate equipment malfunctions. 4. Determine corrective actions required and escalate for assistance and prompt resolution with the support of technically more experienced staff for assistance and guidance when assessing severity of malfunctions and determining corrective actions required. 5. On the job Training (OJT) to assist with installing and start up and/or relocating equipment at customer’s site. 6. Remain up to date on equipment/tools through appropriate training, manuals, factory periodicals and other relevant materials. 7.Execute project action items under direct supervision. 8. Perform other related duties as assigned by senior FSE / supervisor. Leadership 1. May Provide on-site instruction to sub-contractors and customers. Customer Relation 1. Professionally represent the company to the customer. Be committed to customer satisfaction and develop good customer relations by maintaining standards of conduct acceptable to both Lam and customers. 2.Shadow more experienced engineer at customer site.

1. 制定和監控金屬加工機械的生產計劃，合理安排和調度生產資源（包括設備、原材料與人力）以確保生產目標達成。 2. 分析及監控生產數據，識別生產瓶頸並提出具體的改進方案，優化生產流程和提升效率。 3. 熟悉各類金屬加工機械的製造和修配流程，並具備金屬材料特性與加工工藝的專業知識。 4. 監督生產過程，確保產品品質符合標準並落實品質控制計畫，同時執行生產成本之管控與優化。 5. 制定並執行金屬加工機械相關生產政策、標準操作程序及安全管理規範，以確保生產安全無虞。 6. 帶領及培訓生產團隊，提升員工的技能素質及工作績效，並進行團隊管理及績效評估。 7. 使用生管管理軟體進行生產進度與資源排程管理，製作數據分析報告，包括工時計算及報表製作。 歡迎加入我們的團隊，共同提升金屬加工機械的品質與產能，期待您的加入!

進駐台積電新廠區AP7-先進封裝測試廠，依現場工程師指派從事無塵室自動化設備校正、試運轉維護、檢修、保養、異常排除之工作。 1.半導體自動化設備調整、校正、保養。 2.現場異常對應排除。 3.主管交辦事項。 4.提供入職教育訓練 。 5.須配廠區加班(另加班費)。 6.無經驗可 / 有經驗佳。 ※台積電廠商，針對日商進廠區之自動化搬運設備(軌道，台車，自動化倉儲)進行安裝後點檢，調整，校正，測試，在與客戶做驗收。 【其他條件】 1.個性需積極、細心、負責、配合度高。 2.需配合在無塵室內工作(著全套無塵衣)。 3.可配合設備導入常駐客戶端工作。 4.語言無特殊要求。 配合加班經常性薪資平均40000元以上

＜About the job＞ As the AI Software Engineer, 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＞ Responsible for deploying the AI/Data Science collaborative framework and building the AI model and data operating infrastructure. Using software development experience to design and develop high-performance automated systems for AI development and operation. As below: ．Collaborating with Data Scientist/AI ML Engineer team, other software system development teams, and the infrastructure team. ．Ability to utilize various tools/methods to build the MLOps/DataOps/DevOps and deploy and manage the AI Development framework and infrastructure ．Developing infrastructures for data transformation and ingestion and automating important infrastructure to process data ．Deploy AI models to the Inference server and optimize the performance of the model serving operation reliably and efficiently. ．Assist the Data Scientist/AI ML Engineer team in converting the AI models into APIs to serve other systems or integrate with other systems. ＜Skill Sets＞ (1)Excellent problem-solving and troubleshooting skills. (2)Genuine passion for learning new technologies and open-source projects. (3)Familiarity with Python and Java (python is a must) (4)Good understanding of the Linux OS environment, the Shell Scripting, and infrastructure/networking knowledge. (5)Experience with GitLab CI/CD (Nice to have but not necessary) (1)Experience with MLops and Model Serving tools. (2)Experience in GPU programming and performance tuning (3)Being familiar with AZURE (or AWS) cloud infrastructure will be a plus (4)Familiar with declarative infrastructure/container technologies, such as Docker and Kubernetes (k8s/k3s)

1. AOI 影像檢測開發與導入：依產品/缺陷需求設計檢測流程，建立定位、量測、瑕疵判定邏輯，並進行良率/誤判分析與改善。 2. 打光與取像規劃/測試/驗證：協助相機、鏡頭、光源、治具的搭配與測試（亮度、角度、曝光、焦距、景深），建立穩定可重複的取像條件與驗證方法。 3. 影像前處理與演算法應用：影像前處理（濾波、二值化、邊緣/輪廓、模板匹配等）與檢測策略調整，提升檢出率與穩定度。 4.（加分）AI 視覺應用：協助資料蒐集與標註、訓練/驗證流程（如 YOLO 等缺陷偵測），模型部署測試、效能與現場落地調校。 5. 設備端應用程式開發：PC 端控制/操作介面（UI）、參數化、異常處理、資料紀錄等功能開發與維護。

1. 負責既有客戶維護。 2. 負責軟體業務推展並開發潛在客戶與經銷夥伴。 3. 客戶關係經營與管理，Cold Call 電話開發客戶。 4. 約訪客戶，偕同工程師進行客戶端的拜訪、產品介紹與Demo。 5. 提供客戶需求，規劃符合客戶需要之系統解決方案組合。 6. 多項產品的組合銷售，協同客戶進行價值定位與提案。 7. 協助業務部門銷售計劃執行與其他產品部門共同行銷。

1. 公司內部伺服器、PC、筆電、印表機設定。 2. 軟體安裝、更新與授權管理。 3. 帳號管理(AD、Email、ERP)帳號維護。 4. 資訊安全與存取權限控管。 5. 使用者支援與資訊服務（Help Desk）。