SmartBLKTrade Limited (SBT) is a company focusing on researching and deploying emerging technologies pinpointing traditional industrial painpoints with disruptive solutions.
Backed by Listco and industrial leaders as well as academia in Hong Kong, China, Europe and USA, we are developing our proprietary technology for inhouse as well as third parties’ projects in the Financial, Education, Medical and Smart City industry.
Founders are entrepreneurs from MIT, Stanford, Imperial, Tsinghua, HKU, UC Berkeley and NYU.
Research Data Scientist / Big Data Engineer, AI Dept
Be an integral part of the AI team to define, design and build Big Data Analysis products
Develop data set processes for data modeling, and mining that required to support and develop own solutions and platform
Work closely with Chief AI Officer and R&D Directors to create architectural solutions to solve difficult engineering problem in the data retrieval and data processing area
Handle the tasks of data analytics, big data, data visualization, data warehousing and delivery of projects and products
Contribute to continuous improvement on performance and deploy effective analysis mechanism
Build data pipeline that cleans, transforms and aggregates data
Partner with IT dept in productionalizing machine learning models
Stay in current and new web technology trends and backend technology
PhD degree in Computer Science, Applied Mathematics, Mathematics, Statistics, Operations Research or IT related or related disciplines.
Extensive research experience in one of the following fields: statistics, optimisation algorithm, Deep Learning, Natural Language Processing.
Excellent capability of implementing algorithms from papers to programs, tailored to particular business needs and tested on large dataset. Rich experience in big data analysis, machine learning,
strong self-learning ability, and strong interest in machine learning in the industry
Solid mathematical foundation and machine learning algorithm skills, proficient in common data structures and algorithms
Statistical modelling and machine learning analysis preferably dealing with large scale data such as financial data or customer-driven data (ecommerce, internet, video analytics)
Familiar with neural network theory, familiar with CNN \ RNN \ LSTM principle
Familiar with big data processing related technology, include but not limited to Elasticsearch, Hadoop, Spark or Apache Arrow
Familiar with at least one of the following programming languages: C, C++, Java, Go, with one year or more of software project development experience
SQL, SAS, or other database tools for data mining
Understand the design ideas and solutions of basic algorithms for machine learning, familiar with time series processing, familiar with common algorithms for machine learning: decision trees, random forests, collaborative filtering, SVM, regression algorithms, etc.
Experience in protoyping and productionalizing advance analytics solutions in business
Experienced to develop Machine Learning models into Restful API is preferred.
Experienced with Cloud native services on Google Cloud or AWS is preferred.
Good communication skills in English, Chinese advantageous
Hands-on experience with Block-chain development or consensus algorithm research is preferred.
Graduated from top 100 university according to QS, Times Higher Education World University Rankings or Shanghai Jiao Tong University (Academic Ranking of World Universities)
Published paper in well-recognized conference / journal
Fresh graduates are also welcomed
Candidates with more experience will be considered for senior role
Open to sponsoring visas for technically strong candidates from Overseas
Working office; Cyberport
Interested parties, please apply together with a detailed resume, stating current and expected salary, and send it via
APPLY. (Apply Reference No and Our Company Name ) Attractive remuneration will be offered in commensurate with qualifications and experience.
All personal information received will be treated in strict confidence for employment purpose only. Your application can be considered as unsuccessful if you have not been reached within 3 months.
On the other hand, it may be transferred to other companies of our group for job openings. Unsuccessful applications will be destroyed for a period not more than 12 months.