Senior Machine Learning Engineer

Lalamove, Hong Kong

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Lalamove is disrupting the logistics industry by connecting customers and drivers directly through our technology. We offer customers a lightning fast and convenient way to book delivery and moving services whether they are at their home, at work or on the go. People talk about O2O, we live it. Onto our fifth year as a start-up, now operating in Hong Kong, China, Taiwan, Thailand, Singapore, Philippines and Vietnam, our aspirations don’t stop there as our model has the ability to transform how goods move in any city worldwide.

As a Machine Learning Engineer at Lalamove, you will be part of the growing Data Science team working together with Data Engineers, Data Scientist and Software Engineers to support different functional departments in the headquarters, as well as our offices across Southeast Asia. You will be responsible for creating the technology that brings to production data-driven solutions - used for making our products, services and operations intelligent. You will work on a variety of challenges including Dynamic Pricing, Order Allocation, ETA, Fraud Detection, Vehicle Routing and many other applications you will help go live. The ideal candidate will have a passion for building machine learning systems from the ground up and for optimizing them.

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 do:

  • Help shape the direction and architecture of artificial intelligence at Lalamove
  • 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 you will need:

  • 3+ 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
To all recruitment agencies - Lalamove does not accept agency resumes. Please do not forward resumes to our jobs alias, Lalamove employees or any other company location. Lalamove is not responsible for any fees related to unsolicited resumes.

About Lalamove

About Lalamove Lalamove began life as EasyVan in December 2013. Founded by Chow Shing-Yuk, EasyVan was originally about leveraging the sharing economy and satisfying a specific logistical need - van hiring. The name EasyVan was conceived out of the desire for something catchy and easy to remember. Shortly after in July 2014, EasyVan expanded to Singapore, Thailand, Taiwan and numerous cities in Southeast Asia. "Lalamove" became a more appropriate name as the fleet of vehicles evolved from just vans, to motorcycles and trucks of varying sizes. In fact, "Lalamove it" has become the term synonymous with getting things delivered quickly and reliably, the Lalamove way. The Lalamove logistics platform has revolutionised van hiring call centers of old to being a process so streamlined, customers and drivers receive a match with each other within 12 seconds. Local deliveries are fulfilled at a breakneck 55 minutes, door-to-door. For drivers, Lalamove significantly optimises their fleet and route, maximising their earning potential. Lalamove applications are developed by Huolala Global Investment Limited, and are available online, Apple Appstore and Google's Play store. Find out the latest about Lalamove as a company and stay up-to-date through our blog and press releases.

Want to learn more about Lalamove? Visit Lalamove's website.