AI Operations Specialist

Placements24; East London; Hybrid; ZAR 700,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Competitive salary

Job summary

Placements24 is seeking a detail-oriented AI Operations Specialist to ensure the smooth operation of AI systems and infrastructure in Queenstown. You will monitor performance, maintain infrastructure, and optimize ML pipelines, collaborating with AI engineers, data scientists, and IT teams to troubleshoot issues and implement upgrades.

The role offers a hybrid work arrangement in the Eastern Cape, with a competitive salary, professional development, and the chance to work with cutting-edge AI

Qualifications

• Bachelor's degree in CS/IT or related field.
• 2+ years in IT operations, system administration, or MLOps.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Understanding of AI/ML concepts and deployment workflows.
• Scripting skills (Python, Bash) for automation tasks.

Responsibilities

• Monitor AI system performance and identify issues or bottlenecks.
• Manage and maintain AI infrastructure (servers, cloud resources, dependencies).
• Implement and refine MLOps pipelines for deployment, monitoring, lifecycle management.

Skills

Python

Bash scripting

MLOps

Cloud platforms

Docker

Kubernetes

Education

Bachelor's degree in Computer Science, IT, or related field

Tools

Docker

Kubernetes

Job description

About the Role

Our client is looking for a detail-oriented AI Operations Specialist to ensure the smooth and efficient operation of their AI systems and infrastructure in Queenstown . You will be responsible for monitoring, maintaining, and optimizing AI platforms, ensuring high availability, performance, and security. This role involves close collaboration with AI engineers, data scientists, and IT teams to troubleshoot issues, implement system upgrades, and streamline operational workflows. Your contribution will be vital in maintaining the reliability and effectiveness of our AI-driven services.

Key Responsibilities

• Monitor AI system performance and identify potential issues or bottlenecks.
• Manage and maintain AI infrastructure, including servers, cloud resources, and software dependencies.
• Implement and refine MLOps pipelines for model deployment, monitoring, and lifecycle management.
• Troubleshoot and resolve operational issues related to AI systems and data pipelines.
• Develop and maintain documentation for AI operational procedures and best practices.

Requirements

• Bachelor's degree in Computer Science, IT, or a related technical field.
• 2+ years of experience in IT operations, system administration, or MLOps.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Understanding of AI/ML concepts and deployment workflows.
• Scripting skills (e.g., Python, Bash) for automation tasks.

Benefits

• Competitive salary and benefits package.
• Opportunities to work with cutting-edge AI technologies.
• Professional development and training programs.
• Collaborative team environment in Queenstown .
• Flexible working arrangements including a hybrid model.