Responsibilities:

• Develop compelling PoC’s and solutions using emerging technologies for real-time and big data analytics;
• Apply data-mining, machine learning and/or graph analysis techniques for a variety of modeling and relevance problems ;
• Apply state-of-the-art NLP and text mining techniques to understand a large amount of unstructured data;
• Constructing a comprehensive Knowledge Graph that supports variance of applications such as risk management, document summary etc.
• Requirements:

• Bachelor’s degree or above in Computer Science/Electronic Engineering/Information Engineering/Mathematics with 6+ years of experience, or Master’s degree with 3+ years’ experience, or PhD holder in related area. Candidates with less experience will be considered as Engineer;
• Programming experience in one or more of the following: Java, C++, Python, R or equivalent;
• Hands-on experience on developing and training machine learning models or deep neural networks;
• Familiar with general NLP tasks and techniques, such as parsing, sequence labeling, NER, entity linking, relation extraction, etc. Experience on dealing with large-scale unstructured text data is a plus;
• Experience/knowledge in machine learning packages (e.g., scikit-learn, Tensorflow, caffe, PyTorch) is a plus;
• Passion in learning new technologies;
• Self-motivated and well organized with can-do attitude;
• Strong communication and data presentation skills;
• Excellent command of English, fluency in Cantonese and Mandarin is a plus.

Application