Machine Learning Engineer
Description For Machine Learning Engineer
Lalamove, established in 2013, is revolutionizing the logistics industry by connecting millions of drivers and customers through innovative delivery solutions. As a Machine Learning Engineer, you'll join a dynamic team focused on developing and deploying cutting-edge ML services that power various aspects of our platform. You'll work on exciting challenges including Driver Selection Models, Fraud Detection, Vehicle Routing, and AI applications.
The role requires expertise in production ML systems, AWS services, and various ML domains including Computer Vision and NLP. You'll collaborate with data scientists and other teams to create solutions that enhance our global operations. The ideal candidate should have at least 1 year of hands-on experience, strong programming skills in Python and SQL, and experience with major ML frameworks.
Lalamove offers an opportunity to impact communities across Asia with best-in-class technology. You'll be part of a company that's rapidly expanding its presence and is now looking to take its technology worldwide. This position is perfect for someone who wants to work on real-world ML applications at scale, contribute to innovative solutions in the logistics space, and be part of a growing global tech company.
The role is based in Hong Kong, requiring on-site presence, and offers the chance to work with a diverse, multilingual team. You'll be at the forefront of applying ML to solve complex logistics challenges while contributing to Lalamove's mission of making delivery fast and simple for everyone.
Responsibilities For Machine Learning Engineer
- Collaborate with data scientists and machine learning engineers to develop and deploy ML services in production
- Create ML solutions to enhance organizational success globally
- Develop and deploy data-driven solutions for products and services
- Work on Driver Selection Models, Fraud Detection, Vehicle Routing Problem, NLP and Generative AI Applications
- Monitor and evaluate solution effectiveness and health
- Research state-of-the-art machine learning technologies
Requirements For Machine Learning Engineer
- 1+ years of experience implementing high availability production machine learning systems
- Experience with AWS (S3, SageMaker, Rekognition)
- Experience in Structured Data Modeling, Computer Vision, NLP, Large Language Models or Recommendation Systems
- Experience with data processing and ML frameworks (pandas, Sklearn, XGBoost, TensorFlow)
- Experience in building and deploying production-ready ML services
- Proficiency in Python and SQL
- Good command of English
Jobs Related To Lalamove Machine Learning Engineer
