Grab
Technology
MachineLearningEngineer(FulfilmentETA)
Neural analysis suggests this role is
optimal for mid candidates.
“Machine Learning Engineer (Fulfilment ETA) at Grab. Skills: Machine Learning, Deep Learning, Model optimization. Develop Machine Learning models. Develop Deep Learning models”
What You'll Achieve.
Predict ETA accurately; Balance ETA accuracy and system efficiency
Industry & Context.
Predict ETA under uncertainty
What They're Looking For.
Must Have
Bachelor or Master Degree in Computer Science, 2+ years background in Machine Learning, 2+ years background in Deep Learning, 2+ years background in Causal Inference, 2+ years background in Operation Research, 2+ years relevant working experience, Proficient in Python, Proficient in Tensorflow/Pytorch, Proficient in SQL, Proficient in Spark, Proficient in git, Experience developing data processing ETL pipelines, Familiar with Version Control Systems, Understand full software development life-cycle
Nice to Have
PhD preferred
What You'll Do.
Develop Machine Learning models
Develop Deep Learning models
Predict ETA of food orders
Build Optimisation models
Balance system efficiency
Automate model retraining
Automate parameter tuning
Serve model in production
Monitor model accuracy
Monitor service health
Track model performance
Identify data drift issues
Implement improvements
Create technical documents
Explain complex concepts
Collaborate with Product Analytic
Collaborate with Product Manager
Conduct data analysis
How You'll Work.
Team & Collaboration
Product Analytic; Product Manager
Communication Scope
Technical documents; Explain complex concepts
Full Job Description
About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. 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 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 Petaling Jaya. 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. ## Qualifications What Essential Skills You Will Need * A Bachelor or Master Degree in a relevant field such as Computer Science, or any relating fields * 2+ years of background in at l
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