Cloud Support Associate - Artificial Intelligence and Machine Learning

歡迎社會新鮮人/應届畢業生投遞

This Position is for 2025 Graduates Only.

公司簡介

Amazon Web Services (AWS) 是全球最全面和廣泛採納的雲端平台，透過全球資料中心提供超過 200 項功能完整的服務。數百萬個客戶 — 包括成長最快的新創公司、最大型企業以及領先的政府機構 — 都使用 AWS 來降低成本、變得更靈活，且更迅速地創新。我們的目標是成為世界上最以客為尊的公司，獲得全球各行業客戶的認同及信任。

AWS Support Engineering為全球客戶提供專業的技術建議，協助他們於AWS雲端平台達到商業目標。身為AWS Support Engineering的團隊成員，您將接觸到最先端的技術，並與重要的企業客戶及內部工程團隊直接合作。您想加入全球最大的雲端運算公司嗎？您希望成為新世代的雲端專家嗎？您有興趣協助客戶更有效的改善流程嗎？歡迎加入我們！

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon has built a reputation for excellence with a mission to create the earth’s most customer-centric company, a company that customers from all over the globe will recognize, value, and trust for both our products and our service.

AWS Support Engineering provides technical solutions to a wide range of global customers as they build their mission-critical applications on top of AWS cloud services. As a member of the AWS Support Engineering team in Taipei you will be at the forefront of this transformational technology. You will work with leading companies in this space and directly with the engineering teams within Amazon who are developing new capabilities.

Amazon Web Services (AWS) is expanding rapidly and we are looking for talented candidates interested in working in a technically challenging and professional environment. The Amazon support engineering graduate job opportunity is a full-time position and has a strong focus on training and development from global perspective. When you join AWS Support as a graduate, you will have the opportunity to learn and develop with guidance from your manager, local mentor and global mentors, not to mention the excellent long-term development prospects you would expect from this world’s leading cloud company – AWS.

選擇Premium Support團隊

• 團隊：您將與一群對雲端運算充滿熱情及才能的同事合作，與客戶共創價值。
• 職涯：我們為員工規劃完整的發展計畫，協助您在組織內達到職涯目標。
• 訓練：公司具備豐富的訓練資源，讓您可以於工作中成功，同時培養原有領域及全新知識。
• 工作：遵循著follow-the-sun模式，於白天或稍晚時段工作，夜間時段會交接給其他國家的團隊。您沒有on-call的需求，但可能會於週二-週六或週日-週四工作。
• Team: You will be surrounded by people who are smart, passionate about cloud computing, and believe that world class service is critical to customer success.
• Career development: We promote advancement opportunities across the organization to help you meet your career goals.
• Training: We have extensive training programs and mentoring to help you develop the skills required to be confident and successful in your role, and to expand your knowledge into new areas.
• We operate on a follow-the-sun model - we work in the daytime/evening, and handover to other Premium Support sites during the night. Some shifts include staggered weeks, either Sunday-Thursday or Tuesday-Saturday.

Key job responsibilities

身為技術專家，您每天皆會迎接新的挑戰，了解雲端服務如何運用在不同產業及規模的客戶端。透過電話、郵件或網站等管道深入客戶的問題，運用專業知識為客戶量身打造解決方案，並執行故障排除。除了接觸到多樣化的使用情境外，您亦需要指導其他新進同仁、分享技術文章、和內部團隊合作解決問題或優化流程，以完成策略性的目標。

Every day will bring new and exciting challenges. You will be primarily responsible for solving customer’s cases through a variety of contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue.

Apart from working on a broad spectrum of technical issues, an AWS Support Associate/Engineer may also coach/mentor new hires, develop & present training, create technical articles or how-to videos for the developer community, partner with internal development teams on complex issues, participate in new hiring, write tools/scripts to help the team, or work with leadership on process improvement and strategic initiatives.

The AWS Support team is seeking engineers who enjoy learning cloud technology, solving and troubleshooting complex issues, and working with customers. You will be surrounded by people that are smart, passionate about cloud computing, and believe that world class support is critical to customer success. Every day will bring new and exciting challenges on the job while you:

• Learn, support, and use groundbreaking technologies
• Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs
• Work on critical, highly complex customer problems that may span multiple AWS services
• Leverage your day-to-day customer support experience to provide the voice of the customer to internal AWS teams on how to improve our services
• Drive customer communication during critical events
• Drive projects that improve support-related processes and our customers’ technical support experience

Support Areas

• Artificial Intelligence
• Machine Learning
• Big Data
• Cloud computing
• Networking (DNS, TCP/IP, HTTP, VLAN, etc.)
• OS (Linux and/or Windows Servers)
• Virtualization (VMware, Xen, Hypervisor)
• Security concepts / best practices

Basic Qualifications

• Currently enrolled in final year of Bachelor or Master in Information Management, Information Systems, Information Technology, Computer Science, Computer Engineering, Engineering or a related field and will graduate in 2025
• Knowledge of cloud platforms
• Knowledge of networking, operating systems and system administration
• Knowledge of programming and scripting languages (such as Python, Java, Shell scripting, etc.)
• Knowledge of AI/ML technologies.
• Excellent oral and written communication skills in both English and Mandarin
• Problem-solving skills
• Strong customer focus
• Strong multi-tasking skills
• Self-starter who is excited about technology

Preferred Qualifications

• Proficiency in cloud platforms (AWS, Azure, or Google Cloud, etc.)
• Strong understanding of networking, operating systems (Linux, Windows), and system administration
• Proficiency in Python or other programming languages commonly used in AI/ML (R, Java or Julia, etc.)
• Familiarity with AI and ML technologies
• (1) Understanding of machine learning concept, algorism, and workflow
• (2) Experience with machine learning frameworks (such as TensorFlow, PyTorch, etc.)
• (3) Knowledge of neural networks, natural language processing, and computer vision technologies
• (4) Experience with data pre-processing and model evaluation techniques
• Strong analytical and troubleshooting skills