(a) to perform hands-on research and development of Machine Learning / Artificial Intelligence models for analysis and recognition of air quality patterns from time series
(b) to configure AI cloud services
(c) to assist in data consistency
(d) to improve data visualization based on customer’s feedback
Candidates should have / be:
(a) Hong Kong bachelor’s degree or above in Computer Science or Mathematics subject, or Mechanical Engineering, or equivalent;
(b) experience in Python / Java or other programming language for Machine Learning / Artificial Intelligence applications;
(c) strong statistical knowledge;
(d) experience in implementing AI models (preferably on AWS);
(e) preferably with experience related to environmental projects;
(f) preferably with working experience in a start-up;
(g) be proactive, analytical, resourceful in making well considered suggestions;
(h) have good communication and interpersonal skills;
(i) be self-motivated and result oriented
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|Job ref no.||DSDE-032101 (CT3124638-01#9723)|
meo air analytics advises corporations on localised cost effective and sustainable actions to improve indoor air for employees and customers wellness, productivity and safety. meo patented platform identifies the sources of air pollution, with dedicated hardware and proprietary software. Today meo operates in Asia and Europe for our three major client sectors: 1) Green/Smart Buildings who are looking for a total air quality solution & certification status, 2) Institutions such as schools, museums, hospitals and governmental buildings for continuous monitoring and protection, 3) Problem-solving for customers looking to diagnose and fix acute employee complaints with short-term air investigations.