Fraud & Forensics MLOps Engineer - Production Analytics

Ovations Talent Sourcing; Johannesburg; Hybrid; ZAR 1,000,000 - 1,800,000; Full time

Job summary

Ovations Talent Sourcing is seeking a Senior Fraud & Forensics MLOps Engineer in Johannesburg. The role is hybrid (3 days in office) and on a 6‑month independent contract. You will drive end‑to‑end fraud model lifecycle from experimentation to secure, scalable production environments.

You will work with Fraud & Forensics, Data Science, Data Engineering, Technology, Risk and InfoSec to deliver monitored, production‑ready solutions and ensure governance, security and compliance across markets.

Qualifications

• Bachelor’s degree in a relevant field such as CS, data analytics, statistics, engineering or finance.
• 5–7+ years in fraud analytics or financial crime analytics with production exposure.
• Experience operationalising analytics models and deploying them in production.

Responsibilities

• Build, deploy and support MLOps solutions for fraud detection and analytics.
• Develop and maintain CI/CD pipelines for model training, testing and deployment.
• Automate model retraining, versioning, deployment and rollback.
• Containerise and deploy models using Docker and Kubernetes.
• Implement model monitoring for performance, drift, latency and health.
• Support model registries, feature stores and experiment tracking.
• Troubleshoot pipeline failures and production defects.
• Provide post‑deployment support and documentation.

Skills

MLOps

CI/CD

Python

Docker

Kubernetes

Git / GitHub

Azure DevOps

Model monitoring

Data analytics

Security governance

Education

Bachelor's degree in Computer Science or related field

Tools

MLflow / Kubeflow

Azure DevOps / Jenkins

SQL

Cloud ML environments

Job description

Ovations Talent Sourcing is seeking a Senior Fraud & Forensics MLOps Engineer in Johannesburg. The role is hybrid (3 days in office) and on a 6‑month independent contract. You will drive end‑to‑end fraud model lifecycle from experimentation to secure, scalable production environments.

You will work with Fraud & Forensics, Data Science, Data Engineering, Technology, Risk and InfoSec to deliver monitored, production‑ready solutions and ensure governance, security and compliance across markets.