At BJAK, we are building the next generation of intelligent financial services across Southeast Asia.
As a Machine Learning Engineer, you will develop and deploy models that power key features such as personalization, risk scoring, automation, and fraud detection.
This role is remote and based in Indonesia, working closely with our headquarters in Malaysia and cross-functional teams across the region.
You will join a fast-paced team where your ideas and execution will shape real-world outcomes every day.
You will design and scale ML solutions that directly impact product experience and efficiency.
You will contribute to production-grade systems that support millions of users.
You will have the opportunity to work on a variety of use cases across data, product, and engineering.
You will grow quickly in a lean, collaborative team with regional impact.
Requirements:
A Bachelor's or Master's degree in Computer Science, Data Science, or a related technical field is required.
You should have 2-4 years of experience in ML, AI, or backend software engineering.
Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is necessary.
A solid understanding of the ML pipeline, including data wrangling, feature engineering, model development, evaluation, and deployment, is essential.
Experience deploying models into real-world environments via APIs or cloud platforms is required.
Familiarity with tools like Jupyter, Google Colab, and version control (Git) is expected.
Strong problem-solving and communication skills are a must.
You must be based in Indonesia and open to remote collaboration with regional teams.
Benefits:
You will receive a competitive salary and performance-based bonuses.
A flexible remote work arrangement is available from anywhere in Indonesia.
You will engage in high-impact work with real visibility across the organization.
The company has a flat structure where your ideas and contributions are valued.
You will gain exposure to regional product development and collaboration.
Fast-tracked personal and professional growth opportunities will be provided.
