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Post Date

2023-Mar-14

Close Date

2023-Jul-27

Job Type

FULLTIME

Salary

SGD 6000-12000 per MONTH

Location

Singapore, , Singapore

Company Description

Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen, China, Tencent's guiding principle is to use technology for good. Our communication and social services connect more than one billion people around the world, helping them to keep in touch with friends and family, access transportation, pay for daily necessities, and even be entertained. Tencent also publishes some of the world's most popular video games and other high-quality digital content, enriching interactive entertainment experiences for people around the globe. Tencent also offers a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth. Tencent has been listed on the Stock Exchange of Hong Kong since 2004.

Job Description

    Responsible for NLP research and development including Chinese word segmentation, part-of-speech tagging, sentence analysis and named entity recognition;
    Responsible for text classification, sentiment analysis, data mining, text generation, topic analysis, label extraction and other research and development job;
    Optimize existing online algorithms, and develop efficient and reliable NLP solutions by combining business needs and data;
    Explore applications of NLP techniques and deep learning algorithms in games;
    Follow the latest developments in academia and industry and quickly apply findings in your work.

Requirements

    Familiar with NLP fundamentals, with a strong understanding of statistical models, and related machine learning principles, and experience working on NLP-related projects;
    Proficient in at least one programming language, familiar with basic data structures and algorithms;
    Experience in big data mining, knowledge-graph auto-making, and deep learning experience is preferred;
    Familiar with word segmentation, part-of-speech tagging, entity recognition, sentence analysis, and model pre-training.
    Experience in sentiment analysis, relationship extraction, and event extraction is preferred;
    Publication of academic results in academic journals and conferences in NLP-related fields (such as EMNLP, ACL) is preferred;
    Familiar with CRF, SVM and other classic machine learning algorithms and tools, word vectors, RNN, CNN, LSTM, GAN and other deep learning experiences are preferred;
    Familiar with Tensorflow, PyTorch, Hive. Hadoop is preferred.

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