AI Infrastructure Engineer — Hybrid, Cloud & ML Ops

Placements24; East London; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Professional development

Coastal city environment

Job summary

Placements24 in East London is seeking an AI Infrastructure Engineer to design, build, and maintain scalable AI infrastructure, balancing on-site and remote collaboration in a hybrid role.

You will optimize data pipelines for AI/ML workloads, ensure security and reliability, automate deployment and monitoring, and work with AI researchers to meet infrastructure needs in a fast-growing tech scene.

Qualifications

• 3+ years of infrastructure, DevOps or MLOps experience.
• Experience with cloud platforms and containerization.
• Scripting with Python or Bash.
• Understanding AI/ML workflows and infrastructure requirements.

Responsibilities

• Design, implement, and manage scalable AI infrastructure.
• Develop and optimize data pipelines for AI/ML workloads.
• Ensure the security, performance, and reliability of AI systems and platforms.
• Automate deployment, monitoring, and management processes for AI infrastructure.
• Collaborate with AI researchers and engineers to understand their infrastructure needs and provide solutions.

Skills

AI/ML workflows

Cloud platforms

Docker/Kubernetes

Python scripting

Bash scripting

DevOps practices

Education

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

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Placements24 in East London is seeking an AI Infrastructure Engineer to design, build, and maintain scalable AI infrastructure, balancing on-site and remote collaboration in a hybrid role.

You will optimize data pipelines for AI/ML workloads, ensure security and reliability, automate deployment and monitoring, and work with AI researchers to meet infrastructure needs in a fast-growing tech scene.