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 workplace and have experience in Hadoop/spark or other similar big data platforms

Professional knowledge requirements:
- At least five years of experience in any of the following fields: Search Ranking, recommendation system, data mining, and path planning.
- Total 10 + years experience

Department Overview:
- Huawei 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 Overview:
- We, 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, Lat

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