The Machine Learning Engineer position is based in Malaysia with a hybrid working arrangement that includes both remote and in-office work.
The role involves building AI systems that simplify, smarten, and make finance more inclusive across Southeast Asia.
Responsibilities include developing and deploying machine learning models for key features such as personalization, risk scoring, automation, and fraud detection.
The work will have a direct impact on millions of users and will involve collaboration with cross-functional teams in engineering, product, and data.
The role emphasizes designing and scaling ML solutions that enhance product experience and operational efficiency.
The engineer will own the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, tuning, evaluation, and monitoring.
The position requires building scalable ML pipelines and integrating models into backend services and user-facing applications.
Continuous monitoring of model performance and iteration based on real-world feedback is essential.
Staying updated on AI/ML research and industry trends is also a key responsibility.
Requirements:
A Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field is required.
Candidates should have 2–4 years of experience in machine learning, AI, or backend software engineering.
Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn is necessary.
A solid understanding of the ML lifecycle, from data wrangling to deployment, is essential.
Experience in deploying models into real-world environments, such as APIs or cloud services, is required.
Familiarity with tools like Jupyter, Google Colab, and Git is expected.
Strong analytical and communication skills are necessary for this role.
Candidates must be based in Malaysia and able to work in a hybrid setup.
Benefits:
The position offers a competitive salary along with performance bonuses.
A flexible hybrid working model that includes both remote and in-office work is provided.
Employees will engage in high-impact work that reaches millions of users across Southeast Asia.
The company has a flat team structure, allowing for fast decision-making and high visibility.
There are opportunities for rapid career development within a mission-driven company.
The role provides cross-functional exposure to regional product and data teams.
