AI Platform Engineer

Placements24; Queenstown (MD); Hybrid; USD 36,000 - 72,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work

Professional growth

Exposure to AI tech

Collaborative culture

Paid time off

Job summary

Client is seeking a skilled AI Platform Engineer to design, build, and maintain the infrastructure powering their AI initiatives. You will enable scalable, reliable, and efficient AI/ML platforms in collaboration with data scientists and ML engineers.

Based in Queenstown with a flexible hybrid model, the role offers exposure to cutting-edge AI technologies, opportunities for growth, and a collaborative culture focused on delivering robust model development, training, and deployment environments.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Experience with infrastructure engineering, cloud computing, or DevOps for AI/ML platforms.
• Familiarity with AWS/Azure/GCP cloud platforms.
• Proficiency with containerization (Docker, Kubernetes).
• Experience with infrastructure as code (Terraform, Ansible).
• Knowledge of CI/CD and MLOps principles.
• Understanding of AI/ML concepts and workflows.
• Strong scripting skills (Python, Bash).
• Excellent problem-solving and collaboration in hybrid settings.

Responsibilities

• Design, develop, and maintain scalable AI/ML infrastructure and platforms.
• Implement tools for data pipelines, model training, and deployment (MLOps).
• Ensure performance, reliability, and security of AI infrastructure.
• Collaborate with data scientists and engineers to understand infrastructure needs.
• Automate infrastructure provisioning and management tasks.
• Monitor system performance and troubleshoot issues.
• Stay up-to-date with cloud technologies and AI/ML best practices.
• Optimize infrastructure costs and resource utilization.
• Develop and maintain documentation for the AI platform.

Skills

Cloud infra

DevOps

MLOps

Python

Bash

CI/CD

Documentation

Problem solving

Communication

Education

Bachelor's degree in CS/Engineering

Tools

AWS

Azure

GCP

Docker

Kubernetes

Terraform

Ansible

Job description

About the Role

Our client is seeking a skilled AI Platform Engineer to design, build, and maintain the infrastructure that powers their artificial intelligence initiatives. This role is critical for ensuring the scalability, reliability, and efficiency of their AI/ML platforms. You will work closely with data scientists and machine learning engineers to provide robust tools and environments for model development, training, and deployment. The position is based in Queenstown, Eastern Cape, ZA , and offers a flexible hybrid work model, combining the benefits of in-office collaboration with remote flexibility. Join us in building the foundation for next-generation AI solutions.

Key Responsibilities

• Design, develop, and maintain scalable AI/ML infrastructure and platforms.
• Implement and manage tools for data pipelines, model training, and deployment (MLOps).
• Ensure the performance, reliability, and security of AI infrastructure.
• Collaborate with data scientists and engineers to understand their infrastructure needs.
• Automate infrastructure provisioning and management tasks.
• Monitor system performance and troubleshoot issues.
• Stay up-to-date with cloud technologies and AI/ML infrastructure best practices.
• Optimize infrastructure costs and resource utilization.
• Develop and maintain comprehensive documentation for the AI platform.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in infrastructure engineering, cloud computing, or DevOps, with a focus on AI/ML platforms.
• Strong experience with cloud platforms such as AWS, Azure, or GCP.
• Proficiency in containerization technologies (e.g., Docker, Kubernetes).
• Experience with infrastructure as code (e.g., Terraform, Ansible).
• Familiarity with CI/CD pipelines and MLOps principles.
• Understanding of AI/ML concepts and workflows.
• Strong scripting skills (e.g., Python, Bash).
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration abilities in a hybrid setting.

Benefits

• Competitive salary and benefits package.
• Hybrid work arrangement offering flexibility.
• Opportunities for professional growth and learning.
• Exposure to cutting-edge AI technologies and infrastructure.
• Collaborative and innovative work culture.
• Paid time off.