ABACUS digital - Data Scientist, Machine Learning Infrastructure

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At ABACUS digital, we are working hard to provide better access to credit for everyone, aiming to solve one of the fundamental problems in Thailand – financial inclusion. Our flagship product is the digital lending application, MoneyThunder, that is already used by more than one million people in Thailand. We are at the stage of scaling the impact beyond the first million.

One of the core technologies that power MoneyThunder is AI/ML and we strive to use machine learning to improve every aspect of our product, ranging from credit risks and collection strategy to user experience and user acquisition. As we scale, we are planning to build a next-generation machine learning platform with even higher scalability and velocity to support more use cases of AI/ML in our business. And we are looking for talents like you to bring passion in software engineering and AI/ML and join our mission to build innovative technology for a good social cause.

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What you will do

• Design and build an internal machine learning / MLOps platform that supports the use of machine learning models in the production environment, online model experiments, offline model development, and model auto-retraining.
• Work closely with data scientists to iterate model improvements and deploy them to a production environment.
• Always follow best practices in software development (especially in a cloud environment) to ensure secure, efficient, and maintainable software services.

What we are looking for

• Bachelor’s or master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• Strong background in Computer Science and Software Engineering including algorithms, data structures, software architecture, OOP, system design, etc.
• 3+ years of experience as a software engineer, or equivalent experience of building complex software services.
• Good knowledge of both relational and NoSQL databases.
• Experience with DevOps and/or MLOps is a plus
• Experience with AI/ML models development is preferred but not required.