Data Engineer / Machine learning Engineer -- 資料工程師 / 機器學習工程師

[Machine Learning Engineer Job Description] 長期慢性病難以追蹤與管理？我們正在改變這一切！ 慢性疾病影響全球數億人，但目前的醫療系統往往難以提供 持續、精準、個人化 的追蹤與治療。許多患者只能依賴零散的門診紀錄、繁瑣的手動追蹤，甚至因為資源不足而錯失最佳治療時機。這不僅影響患者的健康，也增加了醫療體系的負擔。 我們是一家醫療科技新創，我們的使命是改變這種現狀！ 我們正在打造真正有效的慢性病管理解決方案，結合AI技術、數據驅動決策與醫學專家的專業知識，提供更智慧、更個人化的患者管理工具。從協助醫療機構進行深入研究，到最終讓患者獲得即時且準確的照護，我們的解決方案將顛覆現有的慢病管理方式，真正提升患者的生活品質。 Job Responsibilities: Be the subject matter expert in the data available on the medical domain. Work with product owners and engineering to ensure an efficient implementation of AI products. Work with data engineer/ML engineer to ensure identified data is made available for analysis, articulate needs of data scientist in the early stage of project. Contribute to the implementation of machine learning algorithms to drive proof-of-concepts, projects powered with AI in various stages. Work with the engineering team to design, execute, and monitor product experiments. Define, track and discuss features needed on each use case to be captured in the data pipeline. Contribute to dashboards to track relevant metrics. Document and communicate findings to stakeholders in a clear and concise manner Requirements Relevant degree in Mathematics and Statistics, Computer Science, or Engineering At least 3 - 5 years of working experience relevant to the field of data science At least 2 - 3 production AI project experience with significant tasks and responsibilities. Real-hand experiences in deep learning frameworks such Tensorflow, Keras or PyTorch. Practitioner of data-driven decision making, ability to break down complex AI use cases to priorities and weigh tradeoffs between different approaches. Discover AI papers for the use case, perform preliminary analysis and implementation when deemed fit. Proven knowledge in Python and data science toolkits. Ability and practice in doing statistical analysis on large, unstructured data sets Solid understanding in machine learning algorithms such linear/logistic regression, decision tree/random forest, SVM, KNN, k-means, etc. Proficient in data visualization and data storytelling. Good communication and documentation skills both in English and Mandarin. Experience with any dashboard development or implementation.

長期慢性病難以追蹤與管理？我們正在改變這一切！ 慢性疾病影響全球數億人，但目前的醫療系統往往難以提供持續、精準、個人化的追蹤與治療。許多患者只能依賴零散的門診紀錄、繁瑣的手動追蹤，甚至因為資源不足而錯失最佳治療時機。這不僅影響患者的健康，也增加了醫療體系的負擔。 我們是一家醫療科技新創，我們的使命是改變這種現狀！ 我們正在打造真正有效的慢性病管理解決方案，結合AI技術、數據驅動決策與醫學專家的專業知識，提供更智慧、更個人化的患者管理工具。從協助醫療機構進行深入研究，到最終讓患者獲得即時且準確的照護，我們的解決方案將顛覆現有的慢病管理方式，真正提升患者的生活品質。