Senior Al Algorithm Data Engineer Job Description **What is the job about?** The senior data engineer will be working with developing analytics and algorithms that makes a high degree of business impact, working on standardizing and describing how to work with tools and methods within the area of AI in digital development. **Your main responsibilities:** Develop and implement Al algorithm for digital offering in different application scenarios -Working with PO and domain Experts to develop data driven applications with AI tools and algorithm -Working in the digital offering development team to provide the data engineering insight on how to standardize the AI tools, platforms -Buildup really use case scenario/ pilot project with data & AI tools from digital offering & application on cooling, water treatment, water booster systems, diagnostics -Support on scaling data driven applications with algorithm expertise Experiment with new methods and new use cases - Making proof of concept of analytics and AI on new use cases - Demonstrate the use of new methods or tools within the area of analytics and AI Standardize and describe processes and tools around analytics, machine learning and MLOps + Participate in the development of tools and processes + Work on reference architecture for MLOps + Participate in improving collaboration between data scientists and the other capabilities **Your background:** **We imagine that you have:** + Technical background at master level through education or work experience + Strong and proven record of utilize algorithm to build up the applications to solve industrial issues + Specialization in one or more of these areas: Machine learning, optimization techniques, statistical learning, reinforcement learning. + Several years of experience in working with data, algorithms and machine learning + Experienced in using R or python + Experienced in deploying analytics and AI in production + Fluent in English **We look forward to hearing from you.** Information at a Glance **Job details** Workplace: Onsite Position Job Location: Shanghai, Shanghai, China Contract Type: Full-Time Employment Type: Regular