AI Engineer for Global E-Commerce Logistics Optimization
1 week ago
We are seeking an experienced AI Engineer to join our team in optimizing global e-commerce logistics fulfillment services using machine learning, deep learning, and operational research optimization.
Key Responsibilities- Develop deep learning and operations research models and related intelligent systems for supply chain and logistics of global E-Commerce business.
- Predict end-to-end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance user logistics experience.
- BUILD LOGISTICS NETWORK KNOWLEDGE GRAPHS AND PREDICT THE SPATIO-TEMPORAL TRAJECTORY SEQUENCE OF EXPRESS PACKAGES THROUGH DEEP LEARNING, STATISTICAL INFERENCE AND OTHER ALGORITHMIC METHODS.
- Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse-level manpower forecasting, inventory-level demand forecasting etc.
- Final year Ph.D or recent Ph.D graduates in Computer Science, engineering or quantitative field.
- Proficient in machine learning and statistics, familiar with the principles and model structures of common machine learning and deep learning algorithms for classification, regression, and clustering, with practical application experience.
- Proficient in programming languages such as Python/Java, possessing excellent coding abilities, and familiar with at least one common machine learning/deep learning framework (TensorFlow/PyTorch etc.).
- Demonstrates a spirit of exploration, outstanding data analysis capabilities, strong initiative, and excellent teamwork and communication skills.
- Bonus points for having published papers at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys, or having participated in data mining/machine learning competitions.
The compensation package includes a salary range between SGD $120,000 - SGD $180,000 per annum, depending on qualifications and experience.
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