Source description
About the role
Essential Qualifications: Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Applied Mathematics, Statistics, or related fields. 8+ years of experience in software development and machine learning, with expertise in writing and reviewing production-grade Python code and at least 3+ years in AI engineering. Strong knowledge of ML frameworks and libraries (e.g., TensorFlow, PyTorch), with hands-on experience implementing ML algorithms at scale. Extensive hands-on experience in building and integrating large language models (LLMs) to significantly enhance the capabilities and effectiveness of AI systems. Demonstrated expertise in designing and operating distributed, high-throughput, and low-latency system architectures. Proficiency in software development using containerization technologies (e.g., Kubernetes, Docker) and frameworks/tools such as FastAPI and Uvicorn.
★Recruitment Process Notice • Please note that interview coordination for the next stage will be handled by our offshore Service Hub. • All interview-related communications — including availability confirmation and interview invitations — will be conducted via email only. • As phone contact is not available at this stage, kindly check your email regularly (including spam or junk folders) to avoid missing important updates.
Other details:
- Please plan to arrive 5 minutes before the scheduled time.
- Upon arrival at the building, inform the 1st-floor reception that you are here for a “525 interview with Chubb Life on the 7th floor.” They will assist you with elevator access.
- Once you reach the 7th floor, enter through door 531 and let the receptionist know you’re here for an interview with HR Irene (ext. 8705).
- Please bring your own notebook and make sure that you already install the Python application, we will have a 15-min coding test, if pass the coding test, we will continue to have a 45-min interview with HR and direct manager.
- Please join the webex when you are arriving our office, we will need to recording the coding test for sharing with global team.
其他說明： 本職務面試將分為三個關卡：
- 實體coding test實作 (約15分鐘-因網域限制考量需要請您攜帶自己的電腦並確認已安裝Python前來進行測試)，若通過coding test則會接續進行約45分鐘的實體面試 (面試者為HR及hiring manager)
- 若通過第一關面試，則進行至第二關與安達集團位於英國的Lead AI Engineer進行線上webex面試 (此關為全英文面試)
- 若通過第二關面試，則進行到第三關實體presentation，主題將另行提供，此關亦為全英文報告
★Learn more about Chubb Life Taiwan's culture and workplace • [ 開箱影片 ] 走進我們的辦公室，認識工作環境、福利與文化 • [Podcast] 探索我們如何打造支持成長與創新的職場
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