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a. AI inference result processing for robust object recognition, inter-frame association, and tracking b. Scene recognition using AI inference with a statistical basis c. Algorithm writing with efficient, cross-platform code that is capable on edge devices

▸ Participate in the entire development lifecycle of the MLOps platform ▸ Collaborate with Front-end developers to integrate user-facing elements with server side logic ▸ Collaborate with data engineers and data scientists to assist in the practical implementation of complex domain knowledgecould accelerate the ML dev cycle (MLOPs). ▸ Ability to adapt flexibly to various unforeseen and unfamiliar challenges ▸ Build reusable code and libraries for future use

▸ Developing new features and enhancing existing features for Computer Vision AI services. ▸ Collaborating with backend developers, data scientists, quality assurance, and project managers to develop elegant solutions. ▸ Refactoring legacy codebase, fixing bugs, and optimizing performance continuously. ▸ Writing readable, re-usable code and conducting peer review to ensure quality. ▸ Contributing ideas for UI/UX and product design.

▸ Participate in the entire development lifecycle of the MLOps platform ▸ Design robust and scalable systems and implement new functionality and product enhancements ▸ Identify potential system performance bottlenecks and improve them ▸ Translate vague business requirements into practical and dividable user stories ▸ Provide technical guidance to colleagues and establish a developer-friendly environment. ▸ Build reusable code and libraries for future use

Be responsible for managing our entire k8s-based infrastructure for MLOps.

- Develop our business expansion strategy and provide insights from our existing customers. - Proactively research, evaluate, and target prospective businesses or opportunities for partnerships, sponsorship, and advertising on an ongoing basis. - Engage with prospective markets to fully understand their needs and create new business opportunities. - Engage with B2B customers to fully understand their business needs and identify, and create new business opportunities, developing strong business r

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工作內容： 開發醫療影像分析人工智慧軟體 1.醫療影像分析程式開發 2.開發軟體使用者介面 3.連結介面和分析功能與測試軟體功能