Department OverviewHuawei Consumer Business Group is growing at an extremely fast,pace and currently we are in the top 2 smartphone makers. We believe in creating a great user experience, quality products for our consumers, and generating a high level of trust and confidence in our services. Huawei Mobile Services (part of Consumer Business Group) provides Huawei device users a range of full,scenario and high,quality intelligent experience in smart home, health and fitness, mobile office, easy travel, and entertainment. In 2018, the number of Global Huawei Mobile Services users increased by 117% to more than 500 million users and to more than 560,000 registered developers worldwide respectively. Adhering to a consumer,centric philosophy, Huawei Mobile Services together with global outstanding partners and developers will innovate and constantly explore the future of our better digital world!Team OverviewWe, from Data Platform Group of Huawei Mobile Services India R&D Department are responsible for building various Big Data Platforms like Machine Learning Platforms, Search Platform & Services etc. and end,to,end delivery owner for all the Big Data Services across 50+ countries (Europe, Latin America, Middle East, APAC regions) other than China. The Big Data Services we primarily focus on are Search & Recommendations (Video, Music & Theme applications), Internet Search, Smart Marketing Services, User Categorization, Analytics and BI etcJob Description: Responsibilities: , Develop and optimize search recommendation of search engines to improve the effect of recommendation sorting. , Use the knowledge graph technique to make data more meaningful to the search , Develop ML,DL Model for to build the Knowledge Graph.Service skill requirements: , Familiar with common machine learning algorithms such as classification, sorting, and deep learning. Be familiar with common feature engineering methods. , Familiar with the Linux programming environment and have experience in Hadoop,spark or other similar big data platformsProfessional knowledge requirements, At least five years of experience in any of the following fields: Search Ranking, recommendation system, data mining, and path planning. , High,quality papers are preferred.