Machine Learning Engineer

BJAK, Southeast Asia's largest digital insurance platform, is seeking a Machine Learning Engineer to join their team in a hybrid work arrangement based in Malaysia. This role offers an exciting opportunity to build AI systems that make finance simpler, smarter, and more inclusive across Southeast Asia. The position requires 2-4 years of experience and focuses on developing and deploying ML models for key features including personalization, risk scoring, automation, and fraud detection.

The ideal candidate will be proficient in Python and ML frameworks, with experience in the complete ML lifecycle from data preprocessing to deployment. They will work closely with cross-functional teams across engineering, product, and data to solve real-world challenges. The role demands someone who can take full ownership of projects, thrive in a fast-paced startup environment, and contribute to systems that serve millions of users.

BJAK operates across Malaysia, Thailand, Taiwan, and Japan, using AI, APIs, and intelligent automation to democratize access to insurance and financial products. They offer competitive compensation, flexible working arrangements, and the opportunity to make a significant impact in financial technology. The company culture emphasizes ownership, initiative, and rapid career development in a mission-driven environment.

This is an excellent opportunity for someone who wants to apply machine learning to real-world problems while growing in a fast-moving, purpose-driven team. The role combines technical expertise with business impact, offering exposure to multiple ML domains and the chance to work on systems that directly affect millions of users across Southeast Asia.