Machine Learning Engineer

BJAK, Southeast Asia's largest digital insurance platform, is seeking a talented Machine Learning Engineer to join their team in Taipei, Taiwan. This role offers a unique opportunity to build AI systems that make finance simpler, smarter, and more inclusive across Southeast Asia.

As a Machine Learning Engineer, you'll be at the forefront of developing and deploying critical ML models that power core features – from personalization and risk scoring to automation and fraud detection. Your work will directly impact millions of users across the region, making financial services more accessible and efficient.

The position operates on a hybrid work model, based in Taiwan while collaborating closely with the Malaysian headquarters and cross-functional teams across the region. You'll be part of a fast-moving, execution-driven team where ideas quickly transform into real-world solutions.

Key responsibilities include building and deploying various ML models, managing the complete ML lifecycle, developing scalable pipelines, and integrating solutions into production systems. You'll work closely with product managers, data scientists, and engineers to define goals and use cases, while continuously optimizing model performance based on real-world feedback.

The ideal candidate should have 2-4 years of ML, AI, or backend development experience, strong Python skills, and familiarity with major ML frameworks. You should be comfortable with end-to-end ML development, from data preprocessing to deployment, and have experience with cloud infrastructure and API integration.

BJAK offers a competitive package including performance bonuses, flexible work arrangements, and significant growth opportunities. With presence across Thailand, Taiwan, and Japan, this role provides excellent exposure to regional markets and the chance to impact financial services across Southeast Asia.

If you're passionate about applying ML to solve real-world problems, thrive in fast-paced environments, and want to be part of making financial services more accessible and fair, this role offers an exciting opportunity to make a meaningful impact while advancing your career in ML engineering.