Machine Learning Engineer

BJAK, Southeast Asia's leading digital insurance platform, is seeking a Machine Learning Engineer to join their team in a remote position based in Korea. This role is crucial in building AI systems that make finance simpler, smarter, and more inclusive across Southeast Asia. The position involves developing and deploying models that power key features from personalization and risk scoring to intelligent automation and fraud detection, directly impacting millions of users.

The ideal candidate will work closely with BJAK's headquarters in Malaysia and cross-functional teams across product, data, and engineering. This is an opportunity to join a fast-paced, execution-driven environment where ideas shape real-world solutions. The role requires someone who can manage the full ML lifecycle, from data wrangling to model deployment, and who thrives in a dynamic startup environment.

The position offers a unique opportunity to work on meaningful problems at scale, with the flexibility of remote work from anywhere in Korea. BJAK's presence across Malaysia, Thailand, Taiwan, and Japan provides exposure to diverse markets and challenges. The company is building AI-powered solutions that simplify financial services through automation, smart recommendations, and cutting-edge APIs.

The role requires 2-4 years of experience in machine learning or related fields, strong Python skills, and experience with major ML frameworks. The successful candidate will join a mission-driven company focused on reshaping how people access, understand, and benefit from financial protection across Asia. This is an excellent opportunity for someone passionate about applying machine learning to real-world challenges while contributing to the development of smarter, fairer financial systems.