Machine Learning Engineer

BJAK, Southeast Asia's largest digital insurance platform, is seeking a Machine Learning Engineer to join their innovative team. This remote position, based in Indonesia, offers an exciting opportunity to build AI systems that make finance simpler, smarter, and more inclusive across Southeast Asia.

The role involves developing and deploying models that power key features - from personalization and risk scoring to automation and fraud detection. Your work will directly impact millions of users across the region, working closely with the HQ in Malaysia and cross-functional teams.

As a Machine Learning Engineer, you'll be responsible for the entire ML lifecycle, from data preprocessing and feature engineering to model training and deployment. You'll collaborate with product, data, and engineering teams to define ML goals and use cases, build scalable ML pipelines, and integrate models into production systems.

The ideal candidate has 2-4 years of experience in ML/AI, is proficient in Python and ML frameworks, and has a strong understanding of deploying models in real-world environments. You should be self-driven, capable of working in a dynamic startup environment, and passionate about solving end-to-end technical problems.

BJAK offers competitive compensation, flexible remote work arrangements, and the opportunity to contribute to reshaping financial access across ASEAN. With presence in Malaysia, Thailand, Taiwan, and Japan, you'll be part of a growing company building AI-powered solutions that simplify complex financial services through automation, smart recommendations, and cutting-edge APIs.