BJAK is seeking a Founding AI Engineer to design and build next-generation intelligent systems that serve millions of users across Southeast Asia. In this role, you will work closely with our Head of AI and a team of skilled engineers to build and ship production-grade machine learning models for high-impact use cases like fraud detection and risk modeling.

What You'll Do

Build and ship production-grade machine learning models for high-impact use cases
Contribute to model architecture, data pipeline design, and deployment strategies
Collaborate across engineering, data, and product teams to drive AI initiatives
Support the full ML lifecycle — from data preprocessing and model training to monitoring in production
Write clean, scalable, and well-documented code
Stay up to date with the latest developments in AI/ML, and contribute ideas to improve our systems and workflows
Participate in code reviews and technical discussions with peers

What We're Looking For

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
3–6 years of experience in AI/ML engineering with real-world deployment experience
Proficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning workflows, from data preprocessing to model evaluation
Experience working on applied AI use cases (e.g., recommendation systems, fraud detection, risk scoring, NLP, etc.)
Strong problem-solving skills and attention to detail
Comfortable working hybrid and collaborating with regional teams
Based in Malaysia, with the ability to work in a hybrid setup from PJ HQ

Nice to Have

Experience with MLOps tools like MLflow, Airflow, Docker, or cloud platforms (e.g., GCP, AWS)
Familiarity with responsible AI practices (fairness, interpretability, model governance)
Experience working in a startup or scale-up environment
Interest in building reusable ML components or internal tools