Canopy (HK) (HK) - Project Coordinator (Full time/ Part time)

Mid Level
Hong Kong
Machine Learning Software Engineer
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About Us

Established in 2017, is a fast-moving tech company with a vision of empowering people with A.I. technology in digital marketing and fin-tech space. With a focus of academic research in deep learning and natural language processing, Fasta develops various A.I. products ranging from social analytical platforms to wealth management virtual assistant chatbot that help our clients stay informed with summarized information and real-time trends to make strategic business decisions.

Who we're looking for

We are looking for high caliber individuals for the role of Machine Learning Software Engineer in our Hong Kong office.

What you will be doing
  • Act as a team player to support the Team on day-to-day project/ account management tasks
  • Act as a coordinator to coordinate with design and technical team as well as to ensure the smooth project execution and operation
  • Act as coordinator between clients and the Team to understand client's business needs and formulate the best strategies for achieving their objectives and goals
  • Conduct digital marketing, social media and event marketing data analysis
  • Support and handle administrative work and other ad-hoc tasks assigned by the Team such as report summarizing and documentation etc.
Who you are
  • Higher Diploma holder or above who are interested in Project Management industry
  • Fresh graduate will also be considered
  • Proficient in MS Office and Chinese Word Processing
  • Fluent in English, Cantonese and Mandarin
  • Self-motivated, well-organized and attention to details
  • Good interpersonal and communication skills
  • Able to work under tight schedules and overtime
  • Immediate available is preferred
Your Part-time job details
  • Mon to Fri: 10:00am to 7:00pm (1 to 3 days per week)
  • Flexible working hour, self-organization of work time
  • Work location: Fortress Hill Office / Work from Home
  • Immediate available is highly preferred
  • Able to work outside normal working hours

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