DevOps Engineer
职缺描述
Responsibilities:
1. Develop automation pipelines to deliver software to public/private clouds and physical computing devices.
2. Work with teams across the engineering, product and product design teams to enhance product capabilities to support our growing business.
职务需求
Must have:
1. Any scripting language experience ( ShellScript / Python / Powershell..etc).
2. Experience with software deployment and orchestration technologies, e.g., Ansible, Docker.
3. Experience using Jenkins for building, deploying and automating job for CI/CD pipeline.
4. Familiar with relational database, such as PostgreSQL.
5. Knowledge of cloud platforms such as GCP, AWS or Azure.
Nice to have:
1. Familiar with Python.
2. Kubernetes working knowledge.
3. Knowledge of Linux system.
4. In-depth understanding of networking and tools used to debug networking issues (wireshark, tcpdump, netstat, lsof, etc.)
关于我们
Viscovery 透過自行開發專利算法，自動分析並標籤大量的圖片與影片，將圖片與影片中視覺內容轉化成結構化、多維度、含有高度商業價值的 Visual Big Data （視覺大數據）。至今已累積超過千萬級別商品資料庫，完成超過億次等級自動標籤辨識請求，同時實現毫秒級別的辨識速度與精準度。VisionAI 服務廣泛應用於電子商務、智慧零售、媒體廣告、工業4.0等領域。「電子商務」應用有商品辨識、以圖搜圖、個人化推薦、快速回購、客戶服務等；「智慧零售」則含括人臉辨識、商品辨識、互動廣告、和自助結賬等；「視頻媒體」則運用於內容推薦、自動標籤、片庫管理、智慧剪輯、和內容過濾等；「工業4.0」應用在機器人協作、AR工具協作、廠區監控、和品質控管等。Viscovery 亦提供各式客製化的視覺辨識服務，為客戶打造隱密和適用的專屬辨識引擎。
Viscovery 研發中心設立於台北，由海外和台灣人工智慧、電腦視覺、深度學習、大數據領域的學術工程專家組成，並與美國頂尖大學AI實驗室進行產學合作。我們誠摯邀請同樣富有熱情、創造力、與專業力的夥伴加入，一同實踐立足亞太、放眼全球的技術願景與抱負！(www.viscovery.com)
