MLOps Engineer (Senior) Full Time

Our client is seeking a Senior MLOps Engineer to build and support the infrastructure that enables machine learning solutions to operate reliably in production. This opportunity is ideal for an experienced professional who enjoys combining cloud engineering, automation, and machine learning operations to deliver scalable AI platforms.

Key Responsibilities:

• Build and maintain machine learning deployment pipelines.
• Automate model deployment, monitoring, and retraining processes.
• Implement CI/CD practices for machine learning applications.
• Manage model versioning, governance, and operational monitoring.
• Optimise cloud infrastructure supporting AI workloads.
• Collaborate with machine learning engineers, data scientists, and platform engineers.
• Improve reliability, scalability, and performance of production AI systems.
• Support continuous improvement of enterprise AI platforms.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
• 10+ years’ experience in DevOps, cloud engineering, or machine learning operations.
• Experience supporting production machine learning environments.
• Strong Python scripting and cloud platform experience.
• Experience with Docker, Kubernetes, CI/CD, and Infrastructure as Code.
• Understanding of model lifecycle management and ML monitoring.
• Excellent troubleshooting and automation skills.

Advantageous:

• Experience with MLflow, Kubeflow, or similar MLOps platforms.
• Azure or AWS certifications.
• Experience supporting enterprise AI environments.
• Knowledge of modern observability tools.

Personal Attributes:

• Detail-oriented and proactive.
• Passionate about automation and AI.
• Strong collaboration and communication skills.
• Excellent analytical and problem-solving ability.
• Dedicated to operational excellence.

Only shortlisted candidates will be contacted.
Submit your CV to it.jobs@mspstaffing.co.za or call 021 555 0432.
Visit our website for more exciting career opportunities: https://mspstaffingza.co/
Correspondence will only be conducted with short listed candidates. Should you not hear from us within 4 days, please consider your application unsuccessful.