Machine Learning Engineer

About The Role:

At Krom Bank Indonesia, we are building the future of digital banking through fast, reliable, and intelligent financial services powered by data and AI. We are looking for a Machine Learning Engineer who will work closely with the Data Science team to build and maintain machine learning systems across key business functions such as credit scoring, fraud detection, risk management, and customer intelligence.

You will be responsible for transforming data science models into scalable, production-ready systems and ensuring machine learning pipelines and infrastructure are reliable, maintainable, and efficient. Our ideal candidate is hands-on, detail-oriented, and passionate about building robust ML systems at scale.

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Job Purpose

Collaborate with the Data Science team to build reliable data pipelines, scalable ML infrastructure, and production-ready machine learning systems across credit, fraud, and risk functions.

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Key Responsibilities:

• Build and maintain ML pipeline infrastructure, including ETL processes and feature pipelines
• Automate model training, testing, deployment, monitoring, and maintenance
• Partner with Data Scientists to productionize predictive models into scalable systems
• Ensure ML services and data pipelines are reliable, maintainable, and debuggable
• Improve model performance through monitoring, validation, and optimization
• Collaborate with Engineering, Product, and Data teams to support end-to-end ML delivery
• Contribute to MLOps standards and best practices across the team

About You:

• Minimum Bachelor's Degree (S1) in Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, Data Science, or other related quantitative fields.
• Strong understanding of data structures, data modeling, and ML system architecture
• Proficiency in writing production-ready code using Python
• Familiarity with GoLang is a plus
• Strong knowledge of MySQL/PostgreSQL and data platforms such as S3
• Familiarity with ML/LLM libraries such as TensorFlow, Keras, PyTorch, scikit-learn, LangGraph, Strands Agents SDK, LiteLLM
• Experience using FastAPI, Airflow, or similar frameworks
• Experience with cloud platforms, preferably AWS
• Good understanding of CI/CD, deployment, and production monitoring for ML systems
• Strong problem-solving skills and ownership mindset
• Minimum 1 year of relevant experience in Data Engineering, Software Engineering, or Machine Learning Engineering
• Hands-on experience deploying machine learning models and building feature pipelines
• Experience in fintech, digital banking, or lending is a plus