(Positions funded by HKGov's Programme)

Are you passionate about innovation and solving problems?

AutoML Plus (AML) is an AI + FinTech startup funded by Hong Kong Science Park. At AML, we use the latest software technologies to discover patterns and to create new insights through our R&D projects in Big Data, AI, GenAI/GPT, WealthTech, and FinTech.

AutoML Capital, our partnering company, has been granted Type 4 (advising on securities) and Type 9 (asset management) licenses by the SFC. Great opportunity to gain securities and relevant experience as licensed representative or RO.

Job Description:

Solve problems using computational skills, machine learning modules (e.g. Neural Networks, SVM, KNN) and mathematical optimization;
Design tools for managing the infrastructure and program clean & re-usable simple codes;
Develop codes for extensive test coverage, perform continuous deployment in a professional software engineering environment;
Automate end-to-end pipeline to execute decision of machine learning algorithms, implement real-time monitoring tools, and develop modern, high-quality front-end/web-based products;
Configure server images, optimize the task performance in correspondence with the engineers.

Job Requirements:

Final-year undergraduate, postgraduate, or 1-5 years of experience, in software development or science disciplines, e.g., Information Engineering, Computer Science/Engineering, System Engineering, Physics, Mathematics etc.;
Experience in DevOps and Linux-based software development (e.g. Git, Docker);
Experience in Python, Java, Pandas, Deep Learning, Machine Learning, Tensorflow, GPU and distributed computing. Experience in GenAI/GPT, Front-end and Android app development is a plus;
Fast learner with a can-do attitude who is willing to learn and test new technologies.

Interested parties please apply with detailed resume (in PDF Format).

All applications will be treated in strict confidence. Personal information collected will be used solely for the purpose of recruitment.

Automated Machine Learning Limited

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