BJAK is building the next generation of intelligent financial services across Southeast Asia.
As a Machine Learning Engineer, you will develop and deploy models for key features such as personalization, risk scoring, intelligent automation, and fraud detection.
Your work will have a direct and visible impact on millions of users.
This is a remote position based in Korea, collaborating closely with the headquarters in Malaysia and global teams across product, data, and engineering.
You will be part of a fast-paced, execution-driven environment where your ideas contribute to real-world solutions.
You will design and scale ML solutions that directly impact user experience and operational efficiency.
You will contribute to robust, production-grade systems used by millions and work across various use cases.
Requirements:
A Bachelor's or Master’s degree in Computer Science, Data Science, or a related technical field is required.
You should have 2 to 4 years of experience in machine learning, AI, or backend software development.
Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is necessary.
A strong understanding of the ML development lifecycle, including preprocessing, model building, evaluation, and deployment, is essential.
Experience deploying models in production via APIs or cloud infrastructure is required.
Familiarity with collaborative coding practices and tools like Jupyter and Git is necessary.
Strong problem-solving, communication, and teamwork skills are essential.
You must be based in Korea and able to work remotely with regional teams.
Benefits:
You will receive a competitive salary and performance-based bonuses.
The position offers a flexible, remote-first work environment from anywhere in Korea.
You will have a high-impact role with visibility across product, engineering, and leadership.
The company has a flat structure where your work is recognized and your voice matters.
There is a fast learning curve with opportunities to grow alongside a mission-driven company.
You will gain regional exposure across Southeast Asia’s most exciting fintech markets.
