October 12, 2021
Apply Now
Singapore, Singapore
October 12, 2021
Apply NowJob description
Get to know the team
We at Grab Support (GS) care about customers and aspire to deliver the best-in-class Support Experience to our customers. As we grow our customer base, we are leveraging Science and Technology to match the ever-growing Customer Support needs. We are working with a myriad of interesting structured and unstructured data including audio and free-text. You will be at the heart of designing cutting-edge algorithms and rolling them out to help our team drive SEA forward with technology.
Get to know the role:
Work with structured and unstructured data and use them to achieve the business objectives
Develop quick prototypes by innovating, as well as hacking your way with off-the-shelves packages
Build and deploy systems with Grab software and serve millions of users
Patent/Publish your innovation/findings
The day-to-day activities:
Deep dive into big data to conduct advanced statistical analyses
Design, build, and productionize machine learning and deep learning algorithms efficiently
Integrate, simulate, and A/B test the impact of algorithms and features
Store, retrieve, and visualize results in a presentable manner that facilitates decision-making for rollouts
Effectively conceptualize analyses and communicate to business/product stakeholders
The must-haves:
Masters (PhD preferred) in Computer Science, Engineering, Sciences, Math and Statistics or other relevant courses
Strong Machine Learning fundamentals:
At least 4+ years experience in developing data pipelines, building production-grade ML models and productionizing
Prior knowledge of ML algorithms such as Neural Network architectures, SVM, decision trees, boosting techniques etc.
At least 2+ years experience working in NLP domain, building chatbots, neural translations, etc
Strong software skills:
Excellent software development capabilities, preferably in Python
Familiar with Git-based source control, cloud-based development (AWS/Azure)
Strong working knowledge of Spark, SQL
Knowledge of deep learning frameworks such as Tensorflow, Keras, Torch
Ability to build quick prototypes, use relevant off-the-shelf packages and hack your way around them
Should be able to own the project, effectively engage with business stakeholders and deliver production-grade models independently.
Get to know the team
We at Grab Support (GS) care about customers and aspire to deliver the best-in-class Support Experience to our customers. As we grow our customer base, we are leveraging Science and Technology to match the ever-growing Customer
We at Grab Support (GS) care about customers and aspire to deliver the best-in-class Support Experience to our customers. As we grow our customer base, we are leveraging Science and Technology to match the ever-growing Customer Support needs. We are working with a myriad of interesting structured and unstructured data including audio and free-text. You will be at the heart of designing cutting-edge algorithms and rolling them out to help our team drive SEA forward with technology.
Get to know the role:
Work with structured and unstructured data and use them to achieve the business objectives
Develop quick prototypes by innovating, as well as hacking your way with off-the-shelves packages
Build and deploy systems with Grab software and serve millions of users
Patent/Publish your innovation/findings
The day-to-day activities:
Deep dive into big data to conduct advanced statistical analyses
Design, build, and productionize machine learning and deep learning algorithms efficiently
Integrate, simulate, and A/B test the impact of algorithms and features
Store, retrieve, and visualize results in a presentable manner that facilitates decision-making for rollouts
Effectively conceptualize analyses and communicate to business/product stakeholders
The must-haves:
Masters (PhD preferred) in Computer Science, Engineering, Sciences, Math and Statistics or other relevant courses
Strong Machine Learning fundamentals:
At least 4+ years experience in developing data pipelines, building production-grade ML models and productionizing
Prior knowledge of ML algorithms such as Neural Network architectures, SVM, decision trees, boosting techniques etc.
At least 2+ years experience working in NLP domain, building chatbots, neural translations, etc
Strong software skills:
Excellent software development capabilities, preferably in Python
Familiar with Git-based source control, cloud-based development (AWS/Azure)
Strong working knowledge of Spark, SQL
Knowledge of deep learning frameworks such as Tensorflow, Keras, Torch
Ability to build quick prototypes, use relevant off-the-shelf packages and hack your way around them
Should be able to own the project, effectively engage with business stakeholders and deliver production-grade models independently.
Get to know the team
We at Grab Support (GS) care about customers and aspire to deliver the best-in-class Support Experience to our customers. As we grow our customer base, we are leveraging Science and Technology to match the ever-growing Customer