Qu POS
Qu POS is a technology company that provides a unified commerce platform for quick service and fast casual restaurant chains. Their platform integrates point of sale (POS), online ordering, drive-thru kiosks, and third-party marketplace connections to create seamless on- and off-premise ordering experiences. This enables restaurant operators to manage multi-channel and menu ecosystems efficiently, enhancing brand loyalty and operational accuracy. By leveraging data-rich insights, Qu POS aims to revolutionize restaurant commerce by moving operations into the digital age, focusing on scalability and growth.
Restaurant & Hospitality Point of Sale • Restaurant Analytics • Restaurant Software • Fast Casual • Quick Service Restaurants
AI Developer
December 22, 2024
Qu POS
Qu POS is a technology company that provides a unified commerce platform for quick service and fast casual restaurant chains. Their platform integrates point of sale (POS), online ordering, drive-thru kiosks, and third-party marketplace connections to create seamless on- and off-premise ordering experiences. This enables restaurant operators to manage multi-channel and menu ecosystems efficiently, enhancing brand loyalty and operational accuracy. By leveraging data-rich insights, Qu POS aims to revolutionize restaurant commerce by moving operations into the digital age, focusing on scalability and growth.
Restaurant & Hospitality Point of Sale • Restaurant Analytics • Restaurant Software • Fast Casual • Quick Service Restaurants
📋 Description
• Research AI technologies for current and future products • Design, develop, test, deploy, and maintain demo and production software • Monitor and improve current ML processes • Develop software to quickly and effectively collect training data • Improve the iteration time between prototype to end-user testing • Convert prototype software projects into demos and production software
🎯 Requirements
• Experience in Machine Learning models • Proficiency in frameworks like PyTorch or Tensorflow • Building AI/ML Training Data Sets • Experience with LLMs • Experience in ML Forecasting, Chatbots/AI Assistants, Automatic Speech Recognition (ASR) • Understanding about software development process • Code organization, test driven development, unit testing • Strong understanding and opinions about source control - Git branching strategies • Experience with DevOps and CI/CD environments • Comfortable architecting and designing large scale systems • Designing for scalability • Design for high-performance - low latency, high throughput • Architecting for scalable teams • Current with a variety of modern technologies • Strong Experience with Python • Experience with Deep Learning models • Experience with Docker - building and deploying • Experience with MongoDB • Experience with AWS Services
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