Location: Lagos • Abuja • Remote
Department: Technology & Risk Intelligence
Reports to: Head of AI & Predictive Systems
Type: Full‑time

About the Role

Nupay Tech is building AI‑driven systems that prevent fraud, power AML monitoring, and support rapid scam‑recovery workflows across Nigeria, Africa, and the diaspora.
As our Machine Learning Engineer, you will develop and deploy models that detect anomalies, predict risk, and improve incident response for individuals, SMEs, and large organizations.

Key Responsibilities

• Build, train, and optimize machine learning models for fraud detection, anomaly detection, and predictive analytics.
• Develop real‑time monitoring pipelines that scale across diverse transaction and behavior data.
• Work with engineering to integrate ML models into Nupay Tech’s monitoring, case‑management, and reporting systems.
• Develop computer vision or pattern‑recognition models for identity verification and access controls when applicable.
• Collaborate with AML specialists, policy teams, and risk analysts to translate domain knowledge into features and datasets.
• Continuously improve model performance using feedback loops from real incidents, alerts, and risk workflows.
• Ensure models are explainable, auditable, and compliant with regulatory expectations.

Requirements

• Strong knowledge of supervised/unsupervised learning, anomaly detection, and model evaluation.
• Experience with Python, TensorFlow/PyTorch, scikit‑learn, and ML Ops tooling.
• Experience building production‑ready ML systems (batch or real‑time).
• Familiarity with AML, fraud analytics, identity verification, or risk scoring is a plus.
• Understanding of data governance, model interpretability, and compliance‑aligned development.

Ideal Candidate

You thrive in fast‑evolving risk environments and want to build AI systems that make financial protection smarter, faster, and more scalable.