BJAK is hiring a Founding AI Engineer to build next-generation intelligent systems that serve millions of users across Southeast Asia. You will design and build production-grade machine learning models for high-impact use cases like fraud detection and risk modeling, working closely with the Head of AI and a skilled engineering team.

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 remotely and collaborating with regional teams.
Based in Indonesia with remote working set up.

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.