Machine Learning Engineer
Description For Machine Learning Engineer
Lalamove, a dynamic logistics technology company founded in 2013, is revolutionizing the delivery industry through innovative solutions. They are seeking a Machine Learning Engineer to join their team in Hong Kong. This role presents an exciting opportunity to work at the intersection of logistics and artificial intelligence, developing cutting-edge ML solutions that directly impact millions of users.
The position involves working with a collaborative team of data scientists and ML engineers to create and deploy production-ready machine learning services. You'll be tackling diverse challenges including driver selection optimization, fraud detection, vehicle routing, and implementing advanced NLP and Generative AI applications. This role is perfect for someone with strong Python and SQL skills, along with experience in AWS services and modern ML frameworks.
As a Machine Learning Engineer at Lalamove, you'll be at the forefront of applying AI to solve real-world logistics challenges. The company has shown impressive growth since 2013, expanding across Asia with ambitions to go global. This presents an excellent opportunity for professional growth and making a significant impact in the logistics technology sector.
The ideal candidate should have more than one year of hands-on experience with production ML systems, strong technical skills in various ML domains (structured data, computer vision, NLP), and the ability to work with modern ML frameworks. You'll be part of a company that values innovation and is committed to making delivery fast and simple through technology.
Working from the Hong Kong office, you'll be immersed in a culture that believes in the power of community and technology to transform local communities. The role offers the chance to work on projects that directly impact millions of users while contributing to the company's mission of revolutionizing the logistics industry.
Responsibilities For Machine Learning Engineer
- Collaborate with data scientists and machine learning engineers to develop and deploy ML services in production
- Create ML solutions for organizational success through cross-team collaboration
- 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
- More than 1 year of hands-on 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 and Recommendation Systems
- Experience with data processing and ML frameworks (pandas, Sklearn, XGBoost, TensorFlow)
- Experience in building and deploying production-ready machine learning services
- Proficiency in Python and SQL
- Good command of English
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