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Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. Role: We are seeking outstanding engineers to join TSMC IT infrastructure team to build and orchestrate cloud services to support world-class semiconductor foundry. This team is responsible to design, implement and optimize IT infrastructure toward software-defined computing, storage and networking with cloud technologies. The successful candidate should have strong technical skills and dedication for operation excellence. Responsibilities: 1. Assist the cloud architect to refactoring or migrate the legacy systems as cloud native services. 2. Participate in architecture planning and build cloud environment with cloud architects, project technical support, enterprise solutions based on Azure, AWS or GCP 3. Effective use of professional domain knowledge to assist in maintenance and troubleshooting 4. Cloud services technical support

BẤM NÚT APPLY/ ỨNG TUYỂN ĐỂ XEM THÊM THÔNG TIN CHI TIẾTResponsibility Assist in developing, testing, and maintaining Azure Synapse Pipelines, Spark Pool and Azure Data Factory (ADF) workflows.Help monitor and troubleshoot data pipeline executions, identifying and resolving issues under guidance.Participate in building and maintaining datasets for reporting and analytics purposes.Assist in developing and enhancing Power BI dashboards and reports of Azure cost management pipeline monitoring.Document pipeline workflows, data models, and reporting processes. Requirements: Current third/final year students studying a bachelor’s degree towards the fields of Data Engineering or relevant othersGPA 7/10 or 2.8/4Willing to take 6 months duration ready to start in Jan/March 2026SQL, Python and data modeling concepts are mustFamiliarity with cloud platforms, especially Synapse, ADF, Databricks, is a plus.Exposure to any ETL Tool (Power BI preferred) is a bonus.Strong analytical and problem-solving skills.Willingness to learn new tools and technologies in a fast-paced environment. ** Only shortlisted candidates will be contacted!

無國界醫生是一個獨立的國際醫療人道救援組織，致力為受武裝衝突、流行病與傳染病和天災影響，以及遭排拒於醫療體系以外的人群提供緊急醫療援助。無國界醫生只會基於人們的需要提供援助，不受種族、宗教、性別或政治因素左右。無國界醫生台北辦公室目前正在招募1位對無國界醫生的宗旨及國際人道事務有興趣的資訊專員加入我們的團隊。 資訊專員資訊專員確保無國界醫生（台灣）的資訊基礎設備與系統能有效運作、安全穩定並持續發展。透過提供使用者支援、帶領小型資訊專案、以及參與數位轉型，資訊專員在提升整體工作效率、韌性以及資料保護上，扮演了關鍵角色。主要工作內容： 支援在地、區域及全球資訊策略的執行，並在資訊經理的指導下參與資訊專案的推動。確保資訊系統、網路及基礎設施的持續可用性、效能與維護。提供即時且以使用者為導向的技術支援，提升運作效率與使用者滿意度。執行並監控資安政策與措施，以確保組織的資料保護與系統安全。協助數位化與自動化流程，找出改善機會並支援工具導入。管理資訊設備及資產生命週期，並管理供應商關係，確保符合組織目標、最佳化成本並維持合規性。 Médecins Sans Frontières (MSF) is an international, independent, medical humanitarian organization that delivers emergency aid to people affected by armed conflict, epidemics, natural disasters and exclusion from healthcare. We offer assistance to people based on need and irrespective of race, religion, gender or political affiliation. We have the following vacancy and are looking for a talented individual with a strong desire to contribute to humanitarian work and commit to the aims and values of MSF to join our team in Taipei. IT Officer The IT Officer ensures the efficient functioning, security, and development of MSF Taiwan’s IT infrastructure and systems. By providing advanced user support, leading small-scale IT projects, and contributing to digital transformation, the IT Officer plays a key role in enhancing productivity, resilience, and data protection across the office. Major Responsibilities Support the implementation of local, regional, and global IT strategies and contribute to IT project delivery under the guidance of the ICT Manager.Ensure the continuous availability, performance, and maintenance of IT systems, networks, and infrastructure.Provide timely and user-focused technical support to enhance operational efficiency and staff satisfaction.Implement and monitor cybersecurity policies and measures to safeguard organizational data and systems.Contribute to the digitalization and automation of workflows by identifying improvement opportunities and supporting tool adoptionOversee IT asset lifecycle and vendor partnerships to align with organizational goals, optimize costs, and maintain compliance.

Senior System Reliability Engineer | Delta Corp. IT【The Role】We're currently seeking an experienced Senior System Reliability Engineer to join Manufacturing Support Team which belongs to Delta Corp. IT. The ideal Engineer would have a passion for improving smart operations and app-building automation.【Key Responsibilities】1. Formulate software CI/CD flow.2. Formulate Backup Plan3. Build DevOps, include App-Building Automation, Deploy Automation, Monitoring Automation, etc.4. Record history of operations.5. Record root cause analysis (RCA), includes Root Cause, Improvement Plan6. Generate Daily Report which is recording the history of monitoring.7. Assist operation of the systems.8. Participate in project analysis, request the requirement of operations.9. Greatly coordinate with App Develop Team, to stable services, and ensure a smooth flow of DevOps.【Tech Skill】 1. Program language: Shell Script / Golang2. Operation System: Linux3. Version Control: Git / GitLab4. Containerization: Docker / Containerd 1. DevOps: Azure DevOps / GitLab CI/CD2. Containerization Orchestration: Docker Swarm / Kubernetes3. IaC Tool: Ansible / Terraform / Helm Chart4. Observability: Grafana / Prometheus / Grafna Loki / Grafana Tempo5. Database: Microsoft SQL Server / Oracle DB / MongoDB / Postgresql6. Backend Application Framework: Spring Boot / .NetCore / Python Flask, Django7. Frontend Application Framework: Angular / Vue.js / React / jQuery※職稱與職級會依背景與技術完整度核定。

Performs tasks such as, but not limited to, the following:* Support and communicate with stakeholders including IT/Business Partners as well as external/internal communities for opportunities and or alignment of solution strategy* Support in providing solution architecture as well as guidance in the selected area of responsibility (e.g. Shop floor, IT, SCM, Ops, Infrastructure, etc.)* Provide guidance in IT Process (e.g. Operating Model, Governance, System Development Life Cycle)* Support in providing guidance on relevant technologies and concepts (e.g. Azure, Cloud Tech, .NET, SAP/ABAP, etc.)* Perform technical execution of solutions including requirements gathering, blueprinting, development and deployment* Manage a team of permanent and contractor staff, performing tasks including onboarding, off boarding, training, and enabling IT solutions.

We are looking for an experienced Senior Software Engineerwho is passionate about building high-performance backend systems. You will work closely with a talented engineering team in an Agile environment, contributing to all stages of product development — from architecture design, coding, code review, to production operations. Our product is a next-generation social platform that integrates social media, personalized feed, rating review systems, community engagement, social gamification, real-time chat, and merchant services. The platform is built with a complex microservice architecture, designed to handle millions of users, massive data streams, and high concurrent traffic efficiently. The system is deeply integrated with AI, leveraging machine learning and large language models (LLMs) to enable content understanding, recommendation, fraud detection, and intelligent moderation. You will have the opportunity to work closely with AI engineers to design scalable APIs, data pipelines, and backend infrastructures that power these intelligent features across the social ecosystem.Mô tả công việcDesign, develop, and maintain backend services using Java (Spring Boot / Vert.x / Quarkus) and Kotlin;Build and integrate RESTful APIs, gRPC services, and external third-party systems;Design scalable, reliable, and fault-tolerant architectures that meet performance and business requirements;Write clean, maintainable, and testable code following SOLID principles and modern best practices;Conduct code reviews, optimize performance, and improve database queries (MySQL / MongoDB / Redis / Kafka / ElasticSearch/ HBase/ ClickHouse);Collaborate with DevOps teams to implement and maintain CI/CD pipelines (ArgoCD, Docker, Kubernetes, GitLab CI) across cloud environments (AWS / GCP / Azure);Apply best practices for performance tuning, caching, monitoring, logging, and observability;Work closely with AI and data teams to integrate backend services with machine learning and data pipelines;Mentor and support junior developers, fostering a culture of technical excellence and continuous improvement.Yêu cầu công việcBachelor’s degree in Computer Science, Software Engineering, or a related field;3–6+ years of hands-on experience in Java (Kotlin) development for production systems;Strong proficiency in Spring Boot or Vertx, with understanding of reactive or asynchronous programming;Experience with REST / gRPC APIs and message queues (Kafka, RabbitMQ);Solid understanding of OOP, design patterns, concurrency, and memory management;Experience working with OLAP systems, data analytics pipelines, or data warehousing technologies;Proficient in working with SQL / NoSQL databases (Oracle, MongoDB, Redis, HBase etc.);Familiar with Docker, Kubernetes, and cloud environments (AWS / GCP / Azure);Strong problem-solving skills, logical thinking, and a sense of ownership;Good communication and collaboration skills across teams.

Performs tasks such as, but not limited to, the following:* Support and communicate with stakeholders, including IT/Business Partners as well as external/internal communities for opportunities and or alignment of solution strategy* Support in providing solution architecture as well as guidance in the selected area of responsibility (e.g. Shop floor, MES, IT, SCM, Ops, etc.)* Provide direction and guidance in IT Process (e.g. Operating Model, Governance, System Development Life Cycle)* Support in providing guidance on relevant technologies and concepts (e.g. Azure, Cloud Tech, .NET, Java, SAP/ABAP, B2B, EDI, etc.)* Perform technical execution of business solutions, including requirements gathering, blueprinting, development, and deployment.* Support and develop operational reports and dashboards on Power BI and Reporting Services.* Manage a team of permanent and contractor IT staff, performing tasks including onboarding, offboarding, training, IT Infrastructure, IT Applications, and Cyber Security activities.* Oversees budgets and investments for a medium to large site* Perform and support change management activities

❗️投遞履歷請一律至專屬的職缺網頁：https://25sprout.teamdoor.io/s/ML8ElGFS 目前此職缺為常態徵才，直接透過 Cake平台投遞將不會回覆唷 我們正在尋找一位 Mid-level SRE（Site Reliability Engineer），成為團隊的可靠後盾。你的任務是確保系統穩定運行、雲端環境高效管理、流程持續自動化，讓用戶體驗更順暢、工程師開發更專注。如果你熱愛新技術，喜歡動手解決問題，也樂於與不同角色協作，歡迎加入我們一起：） ▍你的工作將包括： Linux 作業系統管理與維運（RedHat / Debian / Ubuntu 等）網站/應用環境建置與維護（LAMP / LNMP）CI/CD 流程整合與最佳化（Jenkins / GitLab CI/CD）憑證、金鑰與機密管理（SSL/TLS、Vault 等）雲端平台資源管理（AWS EC2 / S3 / RDS、Azure、GCP 等）建置監控與告警系統，確保服務高可用性（Prometheus / Grafana / ELK）自動化工具與基礎架構即程式碼導入（Terraform / Ansible / CloudFormation）

Mô tả công việcArchitect end-to-end generative AI solutions including Large Language Models (LLMs), multimodal AI systems, and AI-powered applicationsDesign and implement scalable generative AI systems leveraging state-of-the-art models such as GPT, Claude, Llama, and other foundation modelsBuild production-ready generative AI products including conversational AI, content generation, code generation, and intelligent automation systemsDevelop and optimize LLM fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and model alignment techniquesLead cross-functional collaboration with data scientists, ML engineers, product managers, and business stakeholders to deliver complete AI solutionsEstablish MLOps practices for generative AI including model versioning, A/B testing, monitoring, and continuous deploymentMentor engineers and provide technical leadership in generative AI best practices and emerging technologiesResearch and evaluate new generative AI techniques, tools, and frameworks to maintain competitive advantageEnsure responsible AI practices including safety, fairness, privacy, and ethical considerations in all AI systemsYêu cầu công việc3+ years of relevant professional experience in AI/ML with 2+ years specifically in Generative AIDeep expertise in Large Language Models, transformer architectures, and generative AI techniquesHands-on experience with foundation models (GPT-4, Claude, Llama, Gemini) and fine-tuning approaches (LoRA, QLoRA, PEFT)Production experience with generative AI applications including RAG systems, AI agents, and conversational AIStrong programming skills in Python with proficiency in PyTorch, Transformers, LangChain, and modern AI frameworksExperience with cloud platforms (AWS, GCP, Azure) and AI/ML services for model deployment and scalingLeadership experience in guiding technical teams and driving AI product development

AI Engineer with full-stack capabilities in Computer Vision and NLP, supporting the building, testing, and deployment of machine learning models and algorithms. The role works closely with senior engineers and cross-functional teams (product, marketing, data science) to integrate AI features into user-facing products and internal tools. Responsibilities also include improving AI pipeline performance, monitoring and evaluating deployed AI systems in operation, and assisting in the development of AI-powered internal tools such as assistant bots for content generation, marketing workflows, and other internal processes.Mô tả công việcDevelop and test AI-driven features in collaboration with the senior engineering team, focusing on marketing tools, user engagement, and automation products.Assist in building and improving internal AI tools, such as bots for content generation and workflow automation, to enhance team productivity.Support the deployment and maintenance of machine learning models and ensure their effectiveness in production environments.Continuously monitor AI systems and suggest improvements based on user feedback and system performance.Work in an agile environment, participating in sprint planning, development, and testing cycles.Yêu cầu công việcBachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.Basic understanding of AI/ML concepts and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.Proficiency in programming languages like Python, with a solid understanding of coding practices and principles.Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.Strong analytical and problem-solving skills, with a willingness to learn and adapt to new technologies and challenges.Good communication skills and the ability to work collaboratively within a teamExperience with project about Computer vision and NLP