Who we're looking for
Lalamove is seeking a motivated and skilled individual to join the team as a Machine Learning Engineer.
What you will be doing
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 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 need :
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
Nice to have :
Familiarity with Redis and MySQL
Familiarity with Scala, Golang, PHP or Javascript
Logistics domain knowledge 
