MLOps Engineer: Scale AI in Production

Placements24; Paarl; On-site; ZAR 900,000 - 1,350,000; Full time

Benefits offered by this job

Medical aid

Retirement fund

Performance bonuses

Job summary

Placements24 is seeking an AI/ML Operations Engineer (MLOps) in Paarl, Western Cape to bridge model development and production deployment. You will build and automate pipelines, deploy, monitor, and retrain ML models at scale on cloud and on-premises infrastructures.

The role requires strong software engineering, DevOps, and ML lifecycle expertise, with hands-on experience with Kubernetes, Docker, and cloud services. The position offers competitive salary and growth opportunities.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 3+ years of software eng/DevOps experience with MLOps focus.
• Proven experience building and managing CI/CD pipelines.
• Strong understanding of ML lifecycle and frameworks (TensorFlow, PyTorch, scikit-learn).
• Proficiency with containers (Docker, Kubernetes).
• Experience with cloud platforms (AWS, Azure, GCP) for ML deployment.
• Scripting skills (Python, Bash).
• Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK).
• Excellent problem-solving and collaboration abilities.

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML models.
• Automate deployment, monitoring, and retraining of ML models in production.
• Manage infrastructure for ML experimentation, training, and serving (Kubernetes, Docker).
• Develop monitoring solutions to track model performance, drift, and health.
• Collaborate with Data Scientists/ML Engineers for smooth model operation.
• Optimize ML workflows for scalability, efficiency, and cost.
• Implement version control, testing, and reproducibility best practices.
• Troubleshoot and resolve ML deployment/infrastructure issues.
• Manage cloud infrastructure (AWS/Azure/GCP) for ML workloads.
• Contribute to internal tools/frameworks to streamline MLOps.

Skills

CI/CD pipelines

MLOps understanding

Python scripting

Problem-solving

Communication

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Terraform

Prometheus

Grafana

Job description

Placements24 is seeking an AI/ML Operations Engineer (MLOps) in Paarl, Western Cape to bridge model development and production deployment. You will build and automate pipelines, deploy, monitor, and retrain ML models at scale on cloud and on-premises infrastructures.

The role requires strong software engineering, DevOps, and ML lifecycle expertise, with hands-on experience with Kubernetes, Docker, and cloud services. The position offers competitive salary and growth opportunities.