Senior Ai Infrastructure Engineer

Placements24; South Africa; Hybrid; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid work model

Health insurance

Job summary

Placements24 seeks an AI/ML Infrastructure Engineer to join our Benoni-based tech team. You will build and maintain scalable AI/ML infrastructure, including GPU clusters, distributed storage, and deployment pipelines.

The role emphasizes high availability, performance, and cost efficiency, with a hybrid work model in Benoni and collaboration with AI/ML engineers and data scientists.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of infrastructure engineering experience supporting AI/ML environments.
• Strong experience with cloud platforms and containerization (Docker, Kubernetes).
• Proficiency in scripting (Python, Bash) and IaC (Terraform, Ansible).
• Familiarity with ML frameworks and MLOps principles.

Responsibilities

• Design, implement, and manage scalable cloud-based infrastructure for AI/ML workloads (e.g., GPU clusters, distributed storage).
• Develop and maintain CI/CD pipelines for automated training, testing, and deployment of ML models.
• Optimize infrastructure performance, resource utilization, and cost-effectiveness.
• Implement monitoring, logging, and alerting systems for AI/ML platforms.
• Collaborate with AI/ML engineers and data scientists to ensure infrastructure meets their development and operational needs.

Skills

AI/ML infrastructure

Cloud platforms (AWS/Azure/GCP)

Docker & Kubernetes

CI/CD pipelines

Python/Bash scripting

IaC (Terraform, Ansible)

ML workflows & MLOps

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

Ansible

Job description

Our client is seeking a skilled AI/ML Infrastructure Engineer to join their advanced technology team in Benoni. This role is essential for building and maintaining the robust, scalable infrastructure required to support artificial intelligence and machine learning initiatives. You will work on optimizing hardware and software systems, developing deployment pipelines, and ensuring the high availability and performance of AI platforms.

About the Role

Our client is seeking a skilled AI/ML Infrastructure Engineer to join their advanced technology team in Benoni. This role is essential for building and maintaining the robust, scalable infrastructure required to support our ambitious artificial intelligence and machine learning initiatives. You will work on optimizing hardware and software systems, developing deployment pipelines, and ensuring the high availability and performance of our AI platforms.

Key Responsibilities

• Design, implement, and manage scalable cloud-based infrastructure for AI/ML workloads (e.g., GPU clusters, distributed storage).
• Develop and maintain CI/CD pipelines for automated training, testing, and deployment of ML models.
• Optimize infrastructure performance, resource utilization, and cost-effectiveness.
• Implement monitoring, logging, and alerting systems for AI/ML platforms.
• Collaborate with AI/ML engineers and data scientists to ensure infrastructure meets their development and operational needs.

Requirements

• Bachelor\'s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in infrastructure engineering, with a focus on supporting AI and Machine Learning environments.
• Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Proficiency in scripting languages (e.g., Python, Bash) and infrastructure-as-code tools (e.g., Terraform, Ansible).
• Familiarity with ML frameworks and MLOps principles.

Benefits

• Competitive salary and benefits package.
• Hybrid work model offering flexibility in Benoni.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional growth and development in a rapidly evolving field.
• Access to cutting-edge technology and a collaborative engineering culture.