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10/14

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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。

10/14

  • 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 面議(經常性薪資達4萬元或以上)40000~40000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。

10/14

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。

10/14

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。

10/14

  • 【台灣夏普】商用市場業務資深專員 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 面議(經常性薪資達4萬元或以上)40000~40000元
  • 工作內容 1.負責台灣商用市場的產品規劃、通路銷售與新通路開發。 2.根據市場需求,規劃產品線並與用戶溝通 。 3.分析產業型態、商業生態系統與競爭策略。 4.具經銷通路銷售經驗,能有效推動業務成長。 5.與日本團隊進行跨國對接,負責談判與協調。 6.處理全球客戶報價、接單及出貨相關業務。
  • 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。

10/14

  • 學徒
  • 企業名 雙瑋企業股份有限公司
  • 工作地點 新北市土城區
  • 薪資 月薪33000~45000元
  • 工作內容 雙瑋企業長期致力於自動化設備的設計與製造,專注提供卓越的沖床周邊自動化解決方案。我們的產品深受客戶信賴,行銷範圍遍及全球,服務對象涵蓋各大產業,並以創新、高品質贏得業界佳譽。 【學徒職務內容】 1. 學習並操作車床、銑床、磨床等金屬加工機械,逐步掌握製造與加工技巧。 2. 協助組裝自動化設備,參與安裝、調試與測試過程,確保設備性能達到標準。 3. 協助進行設備定期維護保養,學習故障診斷及排除技術。 4. 掌握機械工程圖紙,了解設備結構與金屬材料特性及應用。 5. 培養精密量測技術,熟悉常用量測工具(卡尺、千分尺等)以確保產品尺寸精度。 6. 協助整理工作場所、準備所需工具及材料,保證工作環境整潔且安全。 7. 參與內部技術訓練,迎接專業技能的進一步提升與拓展。 8. 在資深技師指導下合作進行專案訓練,逐步完整掌握設備設計到製造的全流程。 雙瑋企業深信員工是公司最重要的資產,我們為員工提供完善的福利及成長機會,包含三節獎金、年終獎金、週休二日等,讓您兼顧專業與生活平衡。我們誠摯邀請您,加入我們的團隊,與我們攜手創造自動化技術的無限可能!立即投遞履歷,我們期待您的加入!
  • 雙瑋企業股份有限公司-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。

10/14

應徵
工作適配度%

登入 後即可查看

根據履歷表的填寫狀況,智慧分析您與工作的適配程度。

10/14

應徵
工作適配度%

登入 後即可查看

根據履歷表的填寫狀況,智慧分析您與工作的適配程度。

10/14

應徵
工作適配度%

登入 後即可查看

根據履歷表的填寫狀況,智慧分析您與工作的適配程度。

10/14