Lalamove - Machine Learning Engineer
Lalamove
Hong Kong
4天前
source : Happyer

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
  • 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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