Canopy
Lalamove (HK)

Lalamove - Machine Learning Engineer

Mid Level
Hong Kong
Machine Learning Engineer
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About Us

At Lalamove, we believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple.

Who we're looking for

Lalamove is seeking a motivated and skilled individual to join the team as a Machine Learning Engineer.

What you will be doing
  • Deploy, schedule, monitor, evaluate and optimize solutions for performance and scalability
  • Build ML development environment for data scientists to model and test prototypes
  • Collaborate with data scientists to build ML pipelines and move prototypes into large-scale production environment
  • Partner with data engineers to manage data pipeline requirements as well as infrastructure and software engineers to bring models to production
Who are you

What we seek:

  • Quick learner: you enjoy working with data and algorithms and have the ability to learn new frameworks and technologies quickly
  • Problem solver: you have strong critical thinking skills and willing to find creative solutions to difficult problems
  • High autonomy: self-organized, passionate with a can-do attitude and own end-to-end projects
  • Team player: you go the extra mile to ensure success and alignment of all parties involved
  • Evangelist: you effectively teach and promote innovative tech, challenge and influence the strategy of stakeholders

What you will need:

  • 4+ years of hands-on experience implementing high availability production machine learning systems
  • Experience with distributed computing technologies (e.g. Hadoop, Spark, GPUs)
  • Experience with AWS (S3, Redshift, SageMaker, Lambda) or GCP (ML Engine, KubeFlow)
  • Experience in one or more of the following: Classical ML, Deep Learning, Image Processing, NLP, Operations Research and Recommendation Systems
  • Experience with machine learning frameworks and libraries (e.g. Sklearn, H2O, XGBoost, TensorFlow, Theano, Keras, Spark MLlib)
  • Proficiency in SQL and Python
  • Good command of English

Nice to have:

  • Familiarity with Redis and MySQL
  • Familiarity with Scala, Golang, PHP or Javascript
  • Logistics domain knowledge


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Unit 403, Innocentre, 72 Tat Chee Ave
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