Machine Learning Engineer
Hong Kong, Hong Kong SAR
Engineering – Data /
Full-time /
On-site
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. Since 2013, we have tackled the logistics industry head on to find the most innovative solutions for the world’s delivery needs. We are full steam ahead to make Lalamove synonymous with delivery and on a mission to impact as many local communities we can. We have massively scaled our efforts across Asia and now have our sights on taking our best in class technology to the rest of the world. And we are looking for talented professionals to join us in this journey!!
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
- 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
- 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
What you'll do
What you will need:
Nice to have:
- Familiarity with Redis and MySQL
- Familiarity with Scala, Golang, PHP or Javascript
- Logistics domain knowledge
To all candidates- Lalamove respects your privacy and is committed to protecting your personal data.
This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice: https://www.lalamove.com/en-hk/candidate-privacy-notice
