Description
Amartha is hiring a senior machine-learning engineer to design, develop, productionize, monitor, and improve machine-learning models for credit scoring, underwriting, fraud detection, collections, and portfolio risk management. The role covers feature engineering, algorithm selection, model evaluation, production pipelines, drift and fairness monitoring, documentation, and collaboration with engineering and risk teams, with an additional focus on LLM and agentic-AI applications. The posting requires a relevant bachelor’s or master’s degree or equivalent practical experience, at least five years of machine-learning engineering or data-science experience, and strong Python, SQL, and traditional machine-learning skills.
