MLOps Engineer: Deploy, Monitor & Scale AI Systems

Placements24; Stellenbosch; On-site; ZAR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Health, dental, vision insurance

Generous paid time off

Professional growth

Modern tech stack

Dynamic team culture

Impactful AI projects

Job summary

Placements24 in Paarl, Western Cape, is seeking a skilled MLOps Engineer to bridge ML model development and production deployment. You will build, automate, and manage infrastructure for scalable ML systems, working closely with data scientists and engineers to ensure smooth integration and continuous improvement of AI products.

The ideal candidate brings strong software engineering, DevOps experience, and a deep understanding of ML lifecycles.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering, DevOps, or MLOps roles.
• Strong understanding of the ML lifecycle and deployment challenges.
• Proficiency in Python scripting.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.
• Experience with cloud platforms (AWS/Azure/GCP) and ML services.
• Knowledge of infrastructure as code tools (Terraform, Ansible).
• Understanding of monitoring and logging tools (Prometheus, Grafana, ELK).
• Excellent problem-solving and collaboration skills.

Responsibilities

• Design, build, and maintain CI/CD pipelines for ML models.
• Automate deployment, monitoring, and management of ML models in production.
• Implement model versioning, testing, and validation processes.
• Monitor ML system performance and resolve issues.
• Collaborate with data scientists to optimize models for production.
• Develop infrastructure for ML training and inference.
• Ensure scalability, reliability, and security of ML deployments.
• Create documentation for MLOps processes and infrastructure.
• Stay current with MLOps best practices and tools.

Skills

Python

CI/CD

Docker

Kubernetes

Cloud platforms

Monitoring & logging

Education

Bachelor's degree in CS/Engineering or related

Tools

Terraform

Ansible

Prometheus/Grafana

Job description

Placements24 in Paarl, Western Cape, is seeking a skilled MLOps Engineer to bridge ML model development and production deployment. You will build, automate, and manage infrastructure for scalable ML systems, working closely with data scientists and engineers to ensure smooth integration and continuous improvement of AI products.

The ideal candidate brings strong software engineering, DevOps experience, and a deep understanding of ML lifecycles.