AI Operations Manager

Placements24; Soweto; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

Retirement benefits

Professional development opportunities

Bonuses

Job summary

Placements24 is seeking an experienced AI Operations Manager to oversee production AI systems in Soweto. You will manage deployment, monitoring, and maintenance of AI models and pipelines, ensuring reliability, scalability, and security.

Collaboration with data science and engineering teams is essential for seamless retraining and deployment. The role requires 4+ years in AI/ML operations, strong MLOps knowledge, and cloud/container experience (AWS/Azure/GCP, Docker, Kubernetes).

Qualifications

• Bachelor's degree in CS, Engineering, or a related field.
• 4+ years in operations, DevOps, or SRE with AI/ML focus.
• Strong understanding of MLOps principles and tools.
• Experience with cloud platforms and containerization (Docker, Kubernetes).

Responsibilities

• Oversee deployment, monitoring, and maintenance of AI models and ML pipelines in production.
• Develop strategies for reliability, scalability, and performance optimization of AI systems.
• Manage incident response and troubleshooting for AI operations.
• Collaborate with data scientists and engineers to streamline retraining and deployment processes.
• Ensure security and operational best practices for AI systems.

Skills

AI/ML Operations

MLOps

Cloud platforms

Docker

Kubernetes

Project management

Incident response

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

GCP

Job description

About the Role

Our client is seeking an experienced and organized AI Operations Manager to oversee the operational aspects of their artificial intelligence initiatives in Soweto . This role is responsible for ensuring the smooth, efficient, and reliable functioning of AI systems and infrastructure in production. You will manage the deployment, monitoring, maintenance, and optimization of AI models and platforms, working closely with engineering and data science teams. The ideal candidate will have a strong understanding of MLOps principles, cloud infrastructure, and project management, contributing to a seamless delivery of AI-powered solutions and ensuring operational excellence.

Key Responsibilities

• Manage the deployment, monitoring, and maintenance of AI models and ML pipelines in production environments.
• Develop and implement strategies for AI system reliability, scalability, and performance optimization.
• Oversee incident response and troubleshooting for AI operational issues.
• Collaborate with data scientists and engineers to streamline model retraining and deployment processes.
• Ensure compliance with security and operational best practices for AI systems.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in operations, DevOps, or site reliability engineering, with a focus on AI/ML systems.
• Strong understanding of MLOps principles and tools.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Excellent project management and problem-solving skills.

Benefits

• Competitive salary and performance-driven bonuses.
• Hybrid work model offering a blend of remote and office-based work.
• Comprehensive health insurance and retirement benefits.
• Opportunities for professional development and certifications in AI operations and cloud technologies.
• A challenging and rewarding role in the rapidly evolving field of AI operations.