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Introduction As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live. Your Role and Responsibilities

Focus 1 – New DINE IN CONCEPT project - Lead & develop a new DINE-IN Concept for Pizza Hut Taiwan, by re-adjusting our product offering, service offering as well as environment, The new business model should be scalable and profitable for Pizza Hut Taiwan in next 5-10 years. - Developing and implementing new operation model & operation team, with new capability skills & reward systems . - Co-work with Market Development in site finding, Marketing & RD & SCM in menu development, and Operation

End-to-End Web Application Development: Lead the end-to-end development of scalable and performant web applications using a full-stack approach. Front-End Development: Design and implement responsive and intuitive user interfaces using React.js and Next.js, with a focus on writing clean and efficient TypeScript code. Back-End Development: Develop server-side logic using Express.js, ensuring the seamless integration of front-end and back-end components. Database Management: Implement

蹤技術問題並提出解決方案 6. 與後端工程師協作，開發網頁前端互動功能 You will Build reliable, efficient and Loved-by-users applications with React Native / ReactJS Optimize applications for maximum speed and scalability Develop new features to enhance user experience Build reusable libraries and components Track issues and resolutions Collaborate with back-end developers Stay current on emerging technologies

NVIDIA is seeking outstanding entry-level Verification Engineers to verify the design and implementation of the next generation of PCI Express controllers for the world’s leading GPUs and SOCs by developing scalable testbench that is re-usable across different verification methodologies and environments. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing fiel

Role: AI Chatbot Engineer Job Summary: As a Chatbot Engineer, you will be responsible for developing and implementing chatbot applications for our clients. You will work closely with the development team to design, build, and maintain chatbots that meet the client's requirements. You will also ensure that the chatbot applications are scalable, reliable, and secure.

Google welcomes people with disabilities. Minimum qualifications: Master's degree in Electrical Engineering, Computer Science, or equivalent practical experience. 5 years of experience in compiler design for CPU scalar and vector engines. Experience with LLVM internals, back-end specifics, compiler loop improvement, resource management, scheduling, code generation. Experience in C or C++ and in Python or other scripting languages. Preferred qualifications: 8 years of experience in compiler desig

Develop PEGAAi products Develop & operate PaaS & IaaS of AI platform to make them robust and high-performance Manage service availability and scalability through better monitoring, processes, and infrastructure

Task of the role: Support product/system reliability and scalability Develop reliable and maintainable service oriented components Co-work/Lead system architecture design, choose suitable technologies and plan development with Product/Project Manager Design and implement database schemas for new service/feature Deployment with Azure/GCP/AWS Participate/Lead in brainstorm session for new features/technologies

1. Help develop computer vision, object tracking algorithms for autonomous cars. 2. Help address a variety of technical challenges in the areas of advanced optics, sensor fusion. 3. Conduct experiment with new or early stage algorithms. 4. Help analyze and improve efficiency, scalability, quality of algorithmic results and stability of various deployed systems. 5. Collaborate with team members from prototyping through production to advance the entire project