Senior Fraud & Forensics MLOps Engineer – Hybrid

Ovations Technologies; Johannesburg; Hybrid; ZAR 900.000 - 1.600.000; Teilzeit

Zusammenfassung

Ovations Technologies seeks a Senior Fraud & Forensics MLOps Engineer to drive fraud detection analytics from experimentation to scalable production environments in a hybrid Johannesburg setup.

Lead the development and deployment of end-to-end MLOps pipelines, monitor models, and collaborate with Fraud, Data Science, Data Engineering, and Information Security teams to ensure governance and security.

Qualifikationen

• Bachelor's degree in relevant field and 5–7+ years in fraud analytics.
• Experience with fraud detection models, risk scoring, anomaly detection.
• Strong MLOps, CI/CD, and production deployment experience.

Aufgaben

• Build, deploy and support MLOps solutions for fraud detection.
• Develop and maintain CI/CD pipelines for model training and deployment.
• Automate model retraining, versioning and environment promotion.
• Containerise and deploy models with Docker and Kubernetes.
• Implement model monitoring for performance, drift and latency.
• Support model registries, feature stores and experiment tracking.
• Troubleshoot pipeline failures and production defects.
• Provide post-deployment support and knowledge transfer.

Kenntnisse

Fraud analytics

MLOps

CI/CD

Production support

Data analysis

Ausbildung

Bachelor's degree in Computer Science

Bachelor's degree in Data Analytics

Tools

Python

Git / GitHub

Azure DevOps / GitHub Actions / Jenkins

Docker

Kubernetes

MLflow / Kubeflow

Cloud-based ML environments

SQL

Jobbeschreibung

Ovations Technologies seeks a Senior Fraud & Forensics MLOps Engineer to drive fraud detection analytics from experimentation to scalable production environments in a hybrid Johannesburg setup.

Lead the development and deployment of end-to-end MLOps pipelines, monitor models, and collaborate with Fraud, Data Science, Data Engineering, and Information Security teams to ensure governance and security.