AI Platform Engineer

Placements24; Vereeniging; On-site; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Benefits package

Career growth

AI projects

Job summary

Placements24 seeks an AI Platform Engineer to design, deploy, and maintain scalable AI/ML platforms in Vereeniging. You will build CI/CD pipelines, implement IaC, and optimize cloud resources to support data science and software teams.

The role emphasizes cloud-native reliability, cost-efficiency, and collaboration with ML engineers to accelerate AI deployments in a dynamic tech environment in Gauteng.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.

Responsibilities

• Design, deploy, and manage scalable AI/ML platforms on cloud infrastructure.
• Develop and maintain CI/CD pipelines for AI/ML deployment.
• Implement and manage IaC using Terraform or Ansible.
• Monitor platform performance and optimize cost-efficiency.
• Ensure security and compliance of AI platforms and data.
• Collaborate with data scientists, ML engineers, and software developers.
• Automate operational tasks to improve reliability.
• Stay updated on cloud, DevOps, and MLOps best practices.
• Document platform architecture and procedures.

Skills

Platform engineering

DevOps

Cloud platforms

CI/CD

IaC

Python

Bash

Go

Docker

Kubernetes

Jenkins

GitLab CI

Education

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

Tools

AWS

Azure

GCP

Terraform

Ansible

Job description

About the Role

Our client, a leader in AI & Emerging Technologies, is seeking a skilled AI Platform Engineer to join their operations in **Vereeniging, Gauteng**. This role is pivotal in building, scaling, and maintaining the infrastructure that powers our advanced AI and machine learning initiatives. You will be responsible for ensuring the reliability, performance, and efficiency of our AI platforms, enabling our data science and engineering teams to innovate and deploy solutions effectively. This position requires a strong understanding of cloud infrastructure, DevOps principles, and the specific needs of AI/ML workloads.

Key Responsibilities

• Design, deploy, and manage scalable and robust AI/ML platforms on cloud infrastructure (e.g., AWS, Azure, GCP).
• Develop and maintain CI/CD pipelines for AI/ML model deployment and management.
• Implement and manage infrastructure as code (IaC) using tools like Terraform or Ansible.
• Monitor platform performance, troubleshoot issues, and optimize for efficiency and cost-effectiveness.
• Ensure the security and compliance of AI platforms and data.
• Collaborate with data scientists, ML engineers, and software developers to understand their platform needs.
• Automate operational tasks and processes to improve system reliability and developer productivity.
• Stay abreast of emerging technologies and best practices in cloud computing, DevOps, and MLOps.
• Document platform architecture, configurations, and operational procedures.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Proven experience as a Platform Engineer, DevOps Engineer, or similar role, with a focus on cloud environments.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their core services.
• Proficiency in scripting languages such as Python, Bash, or Go.
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with MLOps principles and tools is highly desirable.
• Strong understanding of CI/CD concepts and tools (e.g., Jenkins, GitLab CI).
• Experience with infrastructure as code (IaC) tools.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration abilities.

Benefits

Our client offers a competitive salary, a comprehensive benefits package, opportunities for professional growth, and the chance to work with cutting-edge AI technologies. This role is based in our **Vereeniging, Gauteng** office, providing a stable and collaborative work environment. You'll be instrumental in building the foundation for our AI innovations, working with a talented team dedicated to technological advancement.