轉職找工作推薦

  • 中山區日班中控哨(40K,月休10天)
  • 企業名 富邦保全股份有限公司
  • 工作地點 台北市中山區
  • 薪資 月薪40000~0元
  • 工作內容 1. 負責大樓安全巡邏,包括建築物及周邊環境的檢查、門窗安全確認及監控出入人員動態 2. 監控設備操作,包括監視器、門禁管理系統及其他安全相關設備 3. 緊急應變與處理,例如警報事件的回應與調查,及時處理入侵者、不良行為及火災警情等突發事件 4. 安全事件記錄及報告,負責管理和報告安全相關紀錄,確保嚴格遵守安全政策及程序 5. 提供住戶及訪客協助與服務,包括住戶糾紛的處理及訪客引導登記 6. 協助公共區域設備的日常檢查和簡單維護,預防潛在安全隱患 7. 駐點期間負責保障人員與財產安全,必要時執行環境巡檢及安全服務 歡迎成為我們團隊的一份子!若您具有責任心、關注細節且期待穩定的工作環境,立即投遞履歷,加入我們完善的管理團隊!
  • 富邦保全股份有限公司-使用1111轉職專區 https://central1111.com.tw/turn/
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工作適配度%

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工作適配度%

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  • 智慧醫療 雲端開發工程師 面試心得
  • 企業名 鴻海精密工業股份有限公司(鴻海)
  • 工作地點 新北市土城區
  • 薪資 月薪40000~0元
  • 工作內容 1. 負責雲端平台的架構設計與開發實現,支撐端雲一體化整合方案的技術落地,保障雲端系統與終端設備的高效協同及穩定運行。 2. 參與慢病管理平台、醫院HIS系統數據通道等基礎架構的雲端技術搭建,設計並實現FHIR協議數據互通的雲端解決方案,確保全場景數據流暢傳輸與交互。 3. 基於客戶需求,進行雲端系統的定制化開發與優化,參與解決方案及系統設計說明書中雲端部分的編寫,明確雲端應用與設備端產品的整合邏輯。 4. 與FAE、業務團隊協作,理解客戶在端雲項目各階段的雲端需求及問題,參與解決方案的討論與制定,跟進雲端功能的開發與交付進度。 5. 制定雲端平台的交付規格,明確技術標準與FHIR&DICOM協議接口規範,確保雲端系統交付符合客戶預期,同時配合項目團隊完成雲端部署的技術支持。 6. 編寫雲端開發相關的技術文件,包括微服務架構設計、接口說明、開發指南及TFDA相關資安文件,參與客戶的雲端解決方案簡報,根據反饋調整雲端技術方案。
  • 鴻海精密工業股份有限公司(鴻海)-使用1111轉職專區 https://central1111.com.tw/turn/
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工作適配度%

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  • 高雄軟體園區-軟體專案管理 面試心得
  • 企業名 鴻海精密工業股份有限公司(鴻海)
  • 工作地點 高雄市前鎮區
  • 薪資 月薪40000~0元
  • 工作內容 We are seeking a software project manager to join our development team. In this role, you will be responsible for the following tasks: 1. Project Planning & Management - Define project plans, schedules, and resource allocation. - Track project progress to ensure on-time delivery and quality. - Identify risks and work with the team to resolve potential issues. 2.Cross-functional Coordination -Collaborate with development, QA, UI/UX, DevOps, and other teams. -Act as the bridge between clients, business stakeholders, and the engineering team. -Requirement Management 3.Gather, analyze, and confirm requirements, and draft Project Requirement Documents. -Help stakeholders define features and prioritize the product roadmap. -Quality, Delivery & Issue Tracking -Monitor milestones and deliverables to ensure quality standards. -Track bug issues, assign ownership, and follow up on resolution to ensure timely fixes and product reliability. 4.Reporting & Communication-Provide regular project status reports to leadership and stakeholders. -Perform system function demos to leadership and stakeholders to showcase progress. -Draft, review, and maintain user manuals and operational documentation to support end-users. 5.Administrative Support -Assist in internal administrative processes, including form creation and submission. -Handle expense applications and reimbursement requests. -Support supervisors with preparing presentations, documents, and reports. ## Requirements: - 5+ years of experience in software or technology companies. - 2+ years of experience as project or product manager. - TOEIC 800 or higher level. - Excellent communication skills in Mandarin and English. - Quick learner of new knowledge.
  • 鴻海精密工業股份有限公司(鴻海)-使用1111轉職專區 https://central1111.com.tw/turn/
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工作適配度%

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  • 台南醫藥業務人員
  • 企業名 香港商博賞醫藥有限公司台灣分公司
  • 工作地點 台南市東區
  • 薪資 月薪40000~50000元
  • 工作內容 上班地點台南 1. 拜訪固定或非固定地區醫院、診所、藥局客戶,以開發或維護客戶關係。 2. 銷售及推廣公司產品。 3. 教育及示範產品使用方式。 4. 協助客戶使用產品。 有外商藥廠經驗、藥學護理者尤佳。 年度目標獎金:25萬
  • 香港商博賞醫藥有限公司台灣分公司-使用1111轉職專區 https://central1111.com.tw/turn/
應徵
工作適配度%

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根據履歷表的填寫狀況,智慧分析您與工作的適配程度。

1/13

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工作適配度%

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根據履歷表的填寫狀況,智慧分析您與工作的適配程度。

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  • EC(Embedded Controller)工程師 面試心得
  • 企業名 鴻海精密工業股份有限公司(鴻海)
  • 工作地點 新北市土城區
  • 薪資 月薪40000~50000元
  • 工作內容 1. AI PC MCU韌體(Embedded Controller)/FreeRTOS 程式開發、更新、維護 2. AI PC MCU韌體(Embedded Controller)/FreeRTOS 研發時程及可行性評估 3. AI PC MCU韌體(Embedded Controller)/FreeRTOS 規格的review與分析 4. 專案執行與相關功能團隊合作 5. 良好的溝通協調能力 6. 具備產品分析與問題解決能力 7. 對工作具備熱誠 8. 具備邏輯思考能力與抗壓性
  • 鴻海精密工業股份有限公司(鴻海)-使用1111轉職專區 https://central1111.com.tw/turn/
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工作適配度%

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  • AI Infra SW Engineer (Data Science & AI Team) 面試心得
  • 企業名 鴻海精密工業股份有限公司(鴻海)
  • 工作地點 新北市土城區
  • 薪資 月薪40000~50000元
  • 工作內容 <About the Job> We are looking for a highly motivated and skilled AI Infrastructure Engineer with strong hands-on experience in Kubernetes (K8s), particularly in supporting AI/ML workflows. In this role, you will be instrumental in designing, implementing, and maintaining robust, scalable, and high-performance Kubernetes-based infrastructure that supports the entire lifecycle of our AI applications—from data processing and model training to deployment and monitoring. You will work closely with data scientists, AI/ML engineers, and DevOps teams to ensure seamless integration of AI/ML workloads within cloud-native environments. The ideal candidate has a deep understanding of container orchestration, distributed systems, and MLOps practices, and is passionate about building efficient, reliable platforms that enable rapid AI innovation. This is a unique opportunity to work at the intersection of AI and cloud infrastructure, contributing to next-generation systems that power intelligent applications at scale. <Job Responsibilities> .Design & Architecture: Design, build, and scale a reliable and efficient Kubernetes platform optimized for AI/ML workloads. This includes provisioning GPUs, managing resources, and ensuring optimal performance for computationally intensive tasks. .Infrastructure Management: Manage the entire Kubernetes cluster lifecycle—from provisioning and configuration to ongoing maintenance, monitoring, and troubleshooting, ensuring high availability and scalability. .Deployment & Automation: Develop and implement CI/CD pipelines to automate the deployment, scaling, and updating of machine learning models and AI services. Ensure seamless integration with AI tools like Kubeflow, MLflow, and Argo Workflows. .Performance Optimization: Continuously monitor and optimize system performance, focusing on resource utilization, latency reduction, and improving the overall efficiency of AI workloads. Ensure high availability and minimal downtime for AI services. .Collaboration & Guidance: Work closely with data scientists, ML engineers, and cross-functional teams to understand their infrastructure requirements and provide technical solutions to meet workload demands effectively. .Security & Compliance: Implement best practices for cluster security, including network policies, access controls, and vulnerability management to safeguard sensitive data and maintain compliance. .Cost & Resource Efficiency: Manage resources effectively to optimize cost while maintaining high-performance infrastructure for AI model training, inference, and data processing. <Skills & Qualifications> .Kubernetes Expertise: You should have hands-on experience with Kubernetes (K8s) architecture, including deploying applications, managing resources, and troubleshooting complex cluster issues in a production environment. .Containerization & Linux Environment: Strong knowledge of container technologies such as Docker, along with hands-on experience in Linux environments. Expertise in container orchestration and deployment practices is highly valued. .AI Workloads: Deep understanding of GPU scheduling and performance optimization, including strategies for resource allocation, workload balancing, and maximizing throughput for AI/ML tasks. .Automation & CI/CD: You need practical experience with building and managing CI/CD pipelines using tools like GitLab CI, Jenkins, GitHub Actions, or ArgoCD to automate deployments. .Programming & Scripting: Proficiency in at least one scripting language (e.g., Python, Bash) is a must. .Networking: Knowledge of container networking and service mesh technologies (e.g., Istio, Linkerd) is highly desirable and a great advantage.
  • 鴻海精密工業股份有限公司(鴻海)-使用1111轉職專區 https://central1111.com.tw/turn/
應徵
工作適配度%

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根據履歷表的填寫狀況,智慧分析您與工作的適配程度。

1/13

應徵
工作適配度%

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根據履歷表的填寫狀況,智慧分析您與工作的適配程度。

1/13