Canopy (HK) (HK) - Machine Learning Software Engineer

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
  • Build end-to-end machine learning platforms to solve complex customer problems
  • Collaborate with researchers to scale their models in a production environment
  • Promote excellence and best practices across software team regarding implementation and system design
  • Effectively communicate technical machine learning results in a business context
Who you are
  • Strong familiar with deep learning and its applications in industry
  • Strong command of the following languages: Python, Node.js
  • Has a strong working knowledge of software development, including git, Linux, rest API, and docker
  • Has knowledge of backend server-side framework (Flask, Express)
  • Understand data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams
  • Aware of NLP techniques to effectively work with high-dimensional, sparse data
  • Has knowledge of developing A.I. applications involving textual, image, and audio data is a plus
  • Fresh graduates will also be considered for junior position
What we offer
  • A friendly and flat startup cultivates agility, rapid experimentation and learning
  • Exposure to multi-functional teams and rotation of responsibilities in backend, frontend and A.I. development
  • Provide support in professional development with training, coaching, and feedback
  • Broad career opportunities and promotion with the team expansion
  • Work with SME and corporates in Fin-Tech and digital marketing space

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