AI/ML Engineer

Role overview Develop and deploy machine learning capabilities that support risk scoring, anomaly detection, and decision-making across digital platforms. This senior role covers the model lifecycle, from experimentation and evaluation through production monitoring, with attention to responsible and explainable use.

Responsibilities - Build, train, and evaluate models intended for production use. - Develop risk scoring and anomaly detection methods for trade and revenue data. - Deploy and monitor models using sound MLOps practices. - Work with data engineers and product teams to integrate model capabilities. - Document models and support responsible, explainable AI practices.

Requirements - At least four years of applied machine learning experience. - Strong Python skills and experience with common machine learning frameworks. - Experience taking models from prototypes into production. - Solid grounding in statistics and model evaluation.

Nice to have - Experience with large language models and retrieval-based systems. - Background in fraud, compliance, or risk analytics.

Benefits and work setup - Full-time senior role based remotely or in Lagos, Nigeria. - Applications are due by 11 January 2027.