AI Operations Lead — Hybrid, Growth & Certifications

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

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).