- Design and build scalable cloud infrastructure on AWS to support Generative AI applications, ensuring
high availability and low latency.
- Develop and maintain CI/CD pipelines to automate the testing and deployment of both backend
services and ML models (MLOps).
- Implement containerized microservices using Docker/Kubernetes and optimize backend architectures
for model serving.
- Collaborate with AI Engineers to bridge the gap between model experimentation and production
deployment, creating efficient workflows for prompt tuning and model updates.
- Monitor system performance, troubleshoot infrastructure bottlenecks, and implement security best
practices (e.g., AI Gateway, Guardrails).
- 5+ years of working experience in Backend Engineering, Data Engineering, or AI Infrastructure roles.
- Strong proficiency in Infrastructure as Code (IaC) tools: Hands-on experience with Terraform, AWS CloudFormation, or AWS CDK to provision and manage cloud resources.
- Extensive Cloud Engineering experience (AWS), including provisioning and managing services like ECS, ECR, DynamoDB, and Serverless components.
- Solid DevOps & CI/CD expertise: Proficient in building automated pipelines (e.g., AWS CodePipeline, GitLab CI) and managing containerized deployments using Docker and Kubernetes (K8s).
- Familiarity with MLOps best practices, utilizing tools like MLflow for model experiment tracking, version control, and deployment management.
- Experience with system monitoring and optimization, ensuring the stability and scalability of high-concurrency AI applications.
- Familiar with Python and backend frameworks such as FastAPI for building high-performance APIs.
- M.S. in Information Engineering, Computer Science, or a related quantitative field.
- AWS Certified (e.g., AWS Certified Machine Learning Specialty or Solutions Architect) is preferred.
- Experience architectural design discussions for enterprise-level AI solutions.
- Familiarity with GenAI frameworks such as LangChain, OpenAI API, and Vector Database integration.
- Experience establishing on-premises to cloud migration workflows or hybrid cloud setups.
ViewSonic規劃符合組織與個人發展之學習方案，讓同仁充分發揮潛能與專業志趣。開放式的組織環境以及自由愉快的工作氣氛，帶領每一位員工盡情揮灑熱情並尋找到屬於自己的絕佳舞台。
具競爭力之薪資制度
公司提供具市場競爭力的薪資制度，並不吝與同仁分享營運上的績優表現。正職員工享有：
■ 保障薪資14個月
■ 與獲利連結之員工分紅
優於勞基法之福利措施
■ 完善的保險計畫：
依法為每位員工投保勞工保險、全民健康保險及每月定期提繳退休金外，員工享有團體綜合保險保障，包括壽險、意外險、醫療險、癌症險等。員工並可自費為眷屬加保，享受優於業界之保障內容與額度。
■ 彈性的假勤制度：
給予一年7天有薪年假加上5天全薪病假。
■ 周詳的員工保健方案：
重視同仁的身心健康，定期辦理員工健康檢查方案，幫助同仁掌握健康狀況。
重視工作環境與生活品質之間的平衡。明亮優雅的辦公空間及全天候的咖啡供應，讓員工在工作同時也能享受生活。
■ 優惠的員購機會：
本公司各項產品均可洽詢員購優惠價格。
■ 豐富的員工活動：
規劃年度員工旅遊、系列講座、社團活動 (瑜珈社、登山社、籃球社、羽球社、桌球社)、婚喪補助、年節獎金、年度buffet聚餐、特約商店等活動，增進同仁間情感交流。
■ 獨創的藝文陶冶環境：
除了掛滿名家畫作的辦公環境外，不定期舉辦主題性知名畫家之畫作展覽，培養同仁的藝文氣息與美學觀念，鼓勵從藝術氛圍中激發創意。
■ 員工健身房：
全新完工的舒適健身房，提供員工多樣化的運動選擇，讓員工可以達到健康生活、快樂工作的目標。
ViewSonic is committed to creating an inclusive and equitable workplace.
We believe in fostering an environment where every individual is valued and respected. Our hiring process is designed to be transparent, fair, and merit-based, ensuring equal opportunities for all candidates. ViewSonic does not tolerate discrimination of any kind, whether based on race, color, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other legally protected status.
If you need any support or adjustments during the application process, please let us know through the application form, and we will ensure a smooth and comfortable experience for you.
