MLOps Engineer: Production ML & Governance

Penta Consulting; Gauteng; On-site; ZAR 900,000 - 1,500,000; Full time

Job summary

Penta Consulting in South Africa seeks an experienced ML Operations Engineer to build and maintain end-to-end MLOps and CI/CD pipelines for deploying models and infrastructure-as-code.

You will monitor performance, latency, data quality and system stability across enterprise workloads including LLMs and RAG pipelines, while enforcing model risk guidelines.

Collaborate with Data Scientists, IT and Data Engineering to operationalise models effectively and ensure compliance.

Qualifications

• Hands-on production ML lifecycle experience.
• Proficiency with PyTorch or TensorFlow in enterprise settings.
• Experience with monitoring and MLOps tooling.

Responsibilities

• Oversee production ML models and systems for stability and latency.
• Ensure model risk governance and regulatory compliance.
• Collaborate with Data Scientists, IT and Engineering to operationalise models.

Skills

Python scripting

PyTorch

TensorFlow

Containerisation

AWS

Azure

MLOps

Kubeflow

Tools

MLflow

Kubeflow

Docker

Job description

Penta Consulting in South Africa seeks an experienced ML Operations Engineer to build and maintain end-to-end MLOps and CI/CD pipelines for deploying models and infrastructure-as-code.

You will monitor performance, latency, data quality and system stability across enterprise workloads including LLMs and RAG pipelines, while enforcing model risk guidelines.

Collaborate with Data Scientists, IT and Data Engineering to operationalise models effectively and ensure compliance.