you will join lenovo global future leaders program in global it organization. working closely with product managers, product owners and it peers, you will lead it architecture design and development to help lenovo's smart digital transformation in global supply chain, manufacturing, finance, services and solution sales, hr and legal. this position requires the ability to be innovative and work within the parameters of the existing platform. the candidate should be able to build a technical leadership to achieve the following goals: 1. play a key role in enterprise architecture design, application architecture design and implementation, to ensure all the technology and business goals are met with compliance to organization strategies, standards, and industry trends. 2. leverage ai algorithms and data analytical capabilities in building domain specific models and innovative solutions in global supply chain, manufacturing, finance, services and solutions, hr and legal, to address business pain points, improve productivity and time-to-market, promote sales, and increase customer satisfaction. 3. influence the product architecture roadmap if needed. work with peers to implement product strategies & technology strategies 4. use technical expertise to drive engineering excellence in software architecture design and implementation. mentor software developers on technologies, best practices and techniques. monitor a team's productivity to meet organizational goals. 5. facilitate software development tasks including stakeholder communications, project planning, solution design, coding, dit/sit/uat, incident/problem/change management, resolution and escalation as needed. 6. do hands-on development, should be assigned with software implementation tasks as needed. 7. conduct code profiling, code reviews and implement non-functional requirements. work with developers, qa and site operations to ensure code quality and code coverage in testing 8. proactive learner with the ability to research and quickly utilize new technologies. 9. work with other cross-functional and enterprise-wide organizations to develop system and process enhancements. 10. understand business requirements, both current and future, implement devops solutions including design and test automation, continuous integration and deployment, etc., utilize design principles (ooad), patterns (design patterns) & algorithms up-to-date to accomplish business directives and goals. 11. use agile/scrum methodology to deliver web or mobile solutions on time with quality.
position requirements: 1. master degree of computer science or similar specialty from a reputable university. good written and verbal english skills, good team working skills. 2. profound knowledge on artificial intelligence algorithms, including but not limited to algorithms in symbolicism/logicism, connectionism, and evolutionism/actionism, such as na?ve bayers, knn, pd tree, logistic regression (gradient descent/ascent), svm, adaboost, k-mean, cnn, rnn, etc. 3. hands-on experiences in developing ai solutions or applying ai algorithms in smart logistics and manufacturing, nlp, voice technology, vision technology, context awareness, knowledge graph, data analytics, etc. 4. master of one ai programming language (preferably python) and one ai programming platform/tool (such as tensorflow, caffe, etc.) 5. sound knowledge and hands-on experiences in big data technologies (spark, hadoop, map reduce, etc.) 6. experienced in rdbms and nosql for data modeling, mining, etl and analysis, preferably with good business intelligence (qliksense, power bi, talend, tableau, etc.) knowledge 7. sound knowledge in enterprise architecture design, application architecture design and implementation. 8. experienced with cloud computing solutions (aws, ms azure, ali cloud, etc.) and everything-as-a-service (iaas, paas, saas, daas, etc.) solutions 9. decent knowledge of micro-service architecture and technologies (service mesh/istio, k8s, spring cloud, dubbo, etc.) 10. good java, java script, or other open source (node.js, etc.) programming skills are a plus. good understanding of web or mobile application framework (e.g., spring boot, vue, etc.), utilities, and network protocols (e.g. http/https, web socket, etc.). 11. good understanding in web infrastructure like cdn, load balancer, web server, application server and database. 12. knowledge and experience in agile development. familiar with devops methodology and tools, such as jira, git, jenkins, gradle, maven, nexus, selenium, etc. 13. good knowledge of web security technologies and solutions.