AI Infrastructure Engineer

Placements24; The Islands (MS); Hybrid; USD 37,000 - 55,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive salary and benefits

Professional development

Access to advanced technologies

Collaborative team environment

Job summary

Placements24 seeks an AI Infrastructure Engineer to design, deploy and maintain scalable infrastructure for large-scale AI workloads, leveraging cloud and on-premise resources.

The role emphasizes building robust CI/CD pipelines, managing multi-cloud environments, and ensuring security and performance across AI platforms within a hybrid work model that includes collaboration in the Paarl office.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in infrastructure engineering, DevOps, or MLOps.
• Strong experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Familiarity with infrastructure-as-code tools (Terraform, Ansible).
• Understanding of AI/ML concepts and workflows is highly desirable.

Responsibilities

• Design, build, and maintain scalable and resilient infrastructure for AI/ML workloads.
• Manage cloud environments (AWS, Azure, GCP) and on-premise compute clusters.
• Implement and optimize CI/CD pipelines for ML models and infrastructure deployment.
• Ensure the availability, performance, and security of AI infrastructure.
• Work with data scientists and engineers to meet their infrastructure needs and troubleshoot issues.
• Automate infrastructure management tasks using scripting and configuration management tools.

Education

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

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

About the Role

Our client is seeking a skilled AI Infrastructure Engineer to build and maintain the robust infrastructure required for large-scale AI and machine learning operations. This role offers a hybrid work model, combining remote flexibility with essential collaboration in our Paarl office. You will be instrumental in designing, deploying, and managing the cloud and on-premise systems that support our AI research, development, and deployment pipelines. The ideal candidate has a strong background in infrastructure engineering, cloud computing, and a keen understanding of the unique demands of AI workloads, ensuring our platforms are scalable, reliable, and performant.

Key Responsibilities

• Design, build, and maintain scalable and resilient infrastructure for AI/ML workloads.
• Manage cloud environments (AWS, Azure, GCP) and on-premise compute clusters.
• Implement and optimize CI/CD pipelines for ML models and infrastructure deployment.
• Ensure the availability, performance, and security of AI infrastructure.
• Work with data scientists and engineers to meet their infrastructure needs and troubleshoot issues.
• Automate infrastructure management tasks using scripting and configuration management tools.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in infrastructure engineering, DevOps, or MLOps.
• Strong experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Familiarity with infrastructure-as-code tools (Terraform, Ansible).
• Understanding of AI/ML concepts and workflows is highly desirable.

Benefits

• Competitive salary and comprehensive benefits package.
• Hybrid work arrangement for a flexible work-life balance.
• Opportunities for continuous learning and professional development in AI infrastructure.
• Access to advanced technologies and tools.
• Collaborative team environment focused on innovation.
• Contribution to critical AI infrastructure that powers cutting-edge research.