AI Platform Engineer

Placements24; Randburg; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Professional development and training

Randburg team environment

Job summary

Placements24 is seeking an experienced AI Platform Engineer in Randburg to design, build, and maintain scalable AI/ML infrastructure across cloud platforms. You will implement MLOps pipelines for training, deployment, and monitoring, and automate data workflows for ingestion and feature engineering.

Strong scripting and IaC skills are essential to ensure secure, reliable, and efficient platform operation. You will collaborate with data scientists and engineers to tailor infrastructure to

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering, DevOps, or infrastructure engineering with a focus on AI/ML platforms.
• Proficiency in scripting languages (Python, Bash) and infrastructure-as-code tools (Terraform, Ansible).
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Familiarity with ML concepts and frameworks.

Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure on cloud platforms (AWS, Azure, or GCP).
• Implement and manage MLOps pipelines for model training, deployment, monitoring, and versioning.
• Develop and automate workflows for data ingestion, preprocessing, and feature engineering.
• Ensure the security, performance, and reliability of the AI platform and services.
• Collaborate with data scientists and engineers to understand infrastructure needs and provide solutions.

Skills

Python

Bash

Terraform

Ansible

Docker

Kubernetes

CI/CD

Education

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

Tools

Terraform

Ansible

Docker

Kubernetes

CI/CD tools

Job description

About the Role

Our client is seeking a skilled AI Platform Engineer to build and maintain the infrastructure that powers their advanced artificial intelligence initiatives in Randburg . This role is critical for ensuring the scalability, reliability, and efficiency of our AI development and deployment pipelines. You will work with cutting-edge cloud technologies and MLOps practices to provide a robust platform for data scientists and machine learning engineers. If you have a strong background in software engineering, DevOps, and a passion for enabling AI innovation, this is an excellent career opportunity.

Key Responsibilities

• Design, build, and maintain scalable AI/ML infrastructure on cloud platforms (AWS, Azure, or GCP).
• Implement and manage MLOps pipelines for model training, deployment, monitoring, and versioning.
• Develop and automate workflows for data ingestion, preprocessing, and feature engineering.
• Ensure the security, performance, and reliability of the AI platform and associated services.
• Collaborate with data scientists and engineers to understand their infrastructure needs and provide solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering, DevOps, or infrastructure engineering, with a focus on AI/ML platforms.
• Proficiency in scripting languages (e.g., Python, Bash) and infrastructure-as-code tools (e.g., Terraform, Ansible).
• Experience with containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
• Familiarity with machine learning concepts and frameworks.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to work with advanced AI technologies and cloud infrastructure.
• Professional development and training in cutting-edge MLOps practices.
• Collaborative team environment in Randburg focused on innovation and efficiency.
• Contribute to the core AI capabilities of a growing organization.