Analytics India Magazine - Algorithm Expert - NLP

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!

Job Description:

Responsibilities:

- Responsible for various basic NLP algorithms required for search and AI, including but not limited to: word segmentation, syntax, intent recognition, text classification, information extraction, reading comprehension, etc.

- Use natural language processing technology and machine learning algorithms to solve practical problems in a big data environment;

- Tracking cutting-edge algorithm technology, combining business needs, exploring the application of cutting-edge algorithm technology to actual business.

Business skill requirements & Professional knowledge requirements:

- Solid algorithm foundation: familiar with algorithm-related theories, algorithm principles and basic machine learning theories, and have a good mathematical foundation;

- Proficient in knowledge and skills in natural language processing related fields, familiar with common NLP field algorithms;

- Have practical experience in classification and clustering related to natural language processing, entity recognition, syntax analysis, sentiment analysis and opinion mining, and semantic analysis;

- Familiar with one or more programming languages such as Java, Python, C ++;

- Experience in multi-language word segmentation, text clustering and classification is preferred.