Senior Machine Learning Engineer
Core
Design, develop, and productionize ML models for credit scoring, underwriting, fraud detection, collections, and portfolio risk management to support micro-businesses in Indonesia.
Role type
Senior Machine Learning Engineer (Fintech/Credit Risk)
Builds
Production ML models, feature pipelines, and monitoring systems for lending and risk management
Domain
Fintech, Digital Lending, Microfinance
Deliverable
production ML models
Required skills
XGBoost, LightGBM, random forests, logistic regression, Python, SQL, scikit-learn, pandas, NumPy, feature engineering, model evaluation, imbalanced-data handling, model deployment, drift detection, experiment tracking
Preferred skills
Credit risk, underwriting, fraud detection, customer scoring, fintech, digital lending, microfinance, LLMs, retrieval-augmented generation, prompt engineering, agentic programming
Technologies
XGBoost, LightGBM, scikit-learn, pandas, NumPy, Python, SQL
Responsibilities
Design and productionize ML models for credit scoring and fraud detection; Build robust features from customer and transaction data; Define evaluation metrics aligned with lending outcomes; Build reliable training, validation, deployment, and monitoring pipelines; Monitor model performance, calibration, and drift; Collaborate with engineers to integrate models into production systems; Explore practical LLM and agentic-AI applications
Seniority
Senior, hands-on IC
