Canopy
ParallelChain Lab (HK)

ParallelChain Lab (HK) - Data Engineer (Staff / Senior)

Entry Level
Hong Kong
Data Engineer (Staff / Senior)
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About Us

ParallelChain Lab is a blockchain technology company focused on the research and development of ParallelChain: the public + private blockchain infrastructure powering the Web 3.0 ecosystem. Our technology stack spans from blockchain infrastructure, layer-one, applications, to data science and artificial intelligence; both open-source and proprietary.

Who we're looking for

We are looking for Data Engineers who are natural problem-solvers and have a deep passionate for grappling with complex data sets – someone who never stops learning. The Data Science team at ParallelChain develop the Artificial Intelligence capabilities of our blockchain solutions. Prior experience or knowledge of blockchain is not required, but ability to learn quickly and to deliver solid results in our business-driven culture is expected.

What you will be doing
  • Data engineering with python for deep learning or blockchain applications.
  • Perform research and data processing to support the development and enhancement of the AI capabilities, such as multi-biometric recognition and anomaly detection, of ParallelChain’s blockchain solutions.
  • Build, test and bugfix models for biometrics authentication and blockchain fraud detection to achieve high accuracy.
  • Perform web crawling, data cleaning, writing dataset or database queries.
  • Automate data processing workflow and pipelines to support and enhance performance.
  • Build deep learning NLP models and workflows to meet business objectives.
  • Work with the blockchain engineers to integrate models into production.
  • Integrate models as service on AWS cloud (e.g. rest API , flask, dockers, etc)
Who you are
  • Dedication to duty; take pride in the work you do.
  • Skills for grappling with complex data in which the answer is not obvious.
  • Have a deep passion for science but also equipped with a business-oriented mindset.
  • Prior experience with blockchain projects is helpful but we are primarily interested in capacity to grow into the role.
Requirements
  • Bachelor’s Degree in Science or Engineering disciplines (e.g. Physics, Statistics, Computer Science, Electrical Engineering). Postgraduate qualification is a plus.
  • Fresh graduates are welcome and will be considered a Trainee role.
  • 1+ year of relevant work experience in deep learning as applied to image, face or voice recognition, anomaly or fraud detection. Candidates without such experience but are well-versed in machine learning algorithms will also be considered.
  • Proven end-to-end delivery and/or project management experience will be considered for a Senior position.
  • Python skills for data manipulation and at least one deep learning framework (Keras, TensorFlow, Pytorch, Cuda). Should have prior experience with some popular neural networks architectures
  • Projects in Big Data, Pyspark, NLP, graph theory, anomaly or fraud detection highly desirable.
  • Good mastery of Python for data science tasks expected; hands-on familiarity with machine learning tools and frameworks (e.g. SQL, NoSQL, Spark PySpark Docker).
  • Good at mathematics and programming.

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