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 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 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. You won’t be limited to proposing ideas or models, you’ll bring them 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 Do
Help shape the direction and architecture of artificial intelligence at Lalamove
Develop, 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
2+ years of experience as a Machine Learning Engineer or (2+ years in software development and 2+ years in a data role)
Graduate degree in computer science, machine learning or other applied sciences
Hands-on experience implementing production machine learning systems at scale
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)
Experience with distributed computing technologies (e.g. Hadoop, Spark, GPUs)
Experience with AWS (EC2, EMR, S3, Redshift and Lambda)
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

Educational level:

Master Degree

Level of experience (years):

Mid Career (2+ years of experience)

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About EasyVan by lalamove

EasyVan by lalamove is the fastest, safest way to book a van or truck for all of your delivery and transportation needs