The position is for a Machine Learning Engineer at BJAK, focusing on building AI systems that simplify, enhance, and democratize finance.
The role involves developing and deploying key feature models, including personalization, risk assessment, automation, and fraud detection, impacting millions of users.
This is a hybrid role based in Taiwan, collaborating closely with the headquarters in Malaysia and cross-functional teams.
The engineer will design and scale machine learning solutions to improve user experience and operational efficiency.
Responsibilities include collaborating with product managers, data scientists, and engineers to define ML goals, managing the ML lifecycle, and integrating models into production systems.
The role offers opportunities for rapid growth in a dynamic and execution-driven team.
Requirements:
A Bachelor's or Master’s degree in Computer Science, Data Science, or a related technical field is required.
Candidates should have 2-4 years of experience in machine learning, AI, or backend software development.
Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is necessary.
Strong understanding of the complete ML development process, including data preprocessing, model building, evaluation, and deployment.
Practical experience in deploying models via APIs or cloud infrastructure is essential.
Familiarity with tools like Jupyter Notebook and Git, along with excellent problem-solving, communication, and teamwork skills, is required.
Candidates must be based in Taiwan and open to hybrid collaboration with regional teams.
Benefits:
The position offers a competitive salary along with performance bonuses.
Employees benefit from a hybrid work setup, allowing flexibility to work from home or the office.
The role is high-impact, providing visibility across product and leadership teams.
BJAK maintains a flat organizational structure where contributions are recognized and valued.
There are opportunities for fast learning and technical growth within the company.
Employees will gain experience collaborating across Southeast Asia markets.
