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Machine Learning Engineer

Southeast Asia's largest digital insurance platform helping millions of users access transparent and affordable financial protection.
Machine Learning
Mid-Level Software Engineer
Remote
101 - 500 Employees
3+ years of experience
AI · Finance

Description For 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.

Last updated 2 days ago

Responsibilities For Machine Learning Engineer

  • Collaborate with product managers, data scientists, and engineers to define machine learning goals and use cases
  • Build, train, and deploy models to power features like recommendation, classification, ranking, or detection
  • Manage the full ML lifecycle: data wrangling, feature engineering, training, evaluation, deployment, and monitoring
  • Develop and maintain scalable ML pipelines and infrastructure
  • Integrate models into production systems and user-facing applications
  • Analyze model performance and retrain based on feedback and evolving data
  • Stay up to date on relevant AI/ML advancements and contribute to innovation
  • Support debugging, testing, and performance optimization of ML systems

Requirements For Machine Learning Engineer

Python
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field
  • 2 - 4 years of experience in machine learning, AI, or backend software development
  • Proficient in Python and experienced with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Strong understanding of ML development: preprocessing, model building, evaluation, and deployment
  • Experience deploying models in production via APIs or cloud infrastructure
  • Familiar with Jupyter, version control tools (Git), and collaborative coding practices
  • Strong problem-solving, communication, and teamwork skills
  • Must be based in Korea and able to work remotely with regional teams

Benefits For Machine Learning Engineer

  • Competitive salary and performance-based bonuses
  • Flexible, remote-first work from anywhere in Korea
  • High-impact role with visibility across product, engineering, and leadership
  • Flat structure - your work is seen and your voice matters
  • Fast learning curve with room to grow alongside a mission-driven company
  • Regional exposure across Southeast Asia's most exciting fintech markets

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