AI Infrastructure Engineer

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

About the Role

Our client is seeking a skilled AI Infrastructure Engineer to join their expanding technology team in East London . This role is essential for building and maintaining the robust, scalable infrastructure required to support advanced AI and machine learning operations. You will be responsible for managing computing resources, optimizing data pipelines, and ensuring the reliability and efficiency of the AI development and deployment environment. This hybrid position offers a chance to work with cutting-edge technology and contribute to critical infrastructure projects in a vibrant coastal city, supporting both on-site and remote collaboration.

Key Responsibilities

• Design, implement, and manage scalable AI infrastructure, including cloud resources and on-premise systems.
• 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.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in infrastructure engineering, DevOps, or MLOps.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with scripting languages (e.g., Python, Bash) and infrastructure as code tools.
• Strong understanding of AI/ML workflows and the associated infrastructure requirements in East London .

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work with advanced AI infrastructure technologies.
• Hybrid work model offering flexibility and work-life balance.
• Collaborative team environment focused on innovation in East London .
• Professional development and growth opportunities within a growing tech sector.