Machine Learning Engineer - Search and Recommendation

JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy ( ). Joybuy is JD.coms European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience. This will involve working alongside our design leads, product leads, and business leads, helping with everything from the development of tools and platforms to code optimisations and the deployment of solutions. Participate in system design, architecture, and software development of the search and recommendation function.Design, develop, test, deploy, maintain, and enhance high-quality code and solutions.Perform code reviews to optimise the technical performance of the solutions.Manage project priorities, deadlines, and deliverables.Bachelor''s degree in Engineering, Computer Science, Mathematics, or a related technical field.Professional experience in software development, with recent years focused on search technologies.Professional experience in testing and launching software products, as well as software design and architecture.Experience with different programming languages and a good grasp of at least one language, such as Python.Proficiency in the English language.Recent professional software development experience in recommender systems.Proficiency in the Mandarin language.indicates a required fieldPhone *WebsiteDo you have a bachelor''s degree in Engineering, Computer Science, Mathematics, or a related technical field? * Do you have recent software development experience in search technologies? * Do you have good understanding of NLP (natural language processing)? *