Job Description

Get to Know the Team

The Fulfilment Interface Data Science team predicts the estimated time of arrival (ETA) and optimises the ETA quotation that balance among the ETA accuracy, system efficiency and marketplace throughput.

Get to Know the Role

We are looking for a Senior Machine Learning Engineer to build DNN models that predict ETA for Food orders and Transport bookings accurately under uncertainty.

You will report to the Senior Data Science Manager and work onsite at our office in Singapore.

The Critical Tasks You Will Perform

• You will develop innovative Machine Learning or Deep Learning model that can predict the ETA of the food orders accurately. You will also build Optimisation models to balance the ETA accuracy and system efficiency.
• You will establish pipelines to automate the model retraining and parameter tuning and serve the model in production.
• You will build dashboards to monitor the model accuracy and service health. This will involve tracking model performance, identifying data drift issues, and implementing improvements.
• You will create technical documents outlining the methodologies and findings of your work. You will present solutions and explain complex concepts to non-technical stakeholders.
• You will collaborate with Product Analytic and Product Manager to conduct A/B experiment and data analysis.

Job Requirements