Remote AI Platform Engineer

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Remote salary and bonus structure

Full benefits package including health

Flexible work hours

Access to cutting-edge technologies

Opportunity to contribute to AI平台

Job summary

Placements24 is seeking a talented Remote AI Platform Engineer to join our client’s engineering team. This fully remote role focuses on building and maintaining scalable AI infrastructure and tooling to empower data scientists and engineers to innovate quickly.

You will design cloud-based infra, develop MLOps pipelines, and create internal tools while ensuring security and reliability. The ideal candidate has 5+ years in platform engineering, strong cloud and Kubernetes skills, and a passion for

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• 5+ years of experience in software engineering or platform engineering, with a focus on cloud infrastructure.
• Strong expertise in cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).
• Proficiency in programming languages such as Python, Go, or Java.
• Experience with CI/CD tools and practices, and infrastructure-as-code tools (Terraform, Ansible).
• Understanding of machine learning concepts and the MLOps lifecycle is highly desirable.

Responsibilities

• Design, build, and manage scalable cloud-based infrastructure for AI/ML workloads.
• Develop and maintain robust MLOps pipelines for automated model training, deployment, and monitoring.
• Create and manage tools and frameworks that simplify the AI development lifecycle for internal users.
• Ensure the reliability, performance, and security of the AI platform.
• Collaborate with data scientists, ML engineers, and software engineers to understand their platform needs.
• Implement infrastructure-as-code (IaC) solutions for efficient resource management.

Skills

Cloud platforms

Kubernetes

Docker

Python

Go

Java

CI/CD

Terraform

Ansible

MLOps

Education

Bachelors in CS/Engineering

Tools

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a talented and experienced Remote AI Platform Engineer to join their dynamic engineering team. This fully remote position focuses on building and maintaining the core infrastructure and tools that enable the development and deployment of AI/ML solutions at scale. You will work on creating robust, scalable, and user-friendly platforms that empower data scientists and engineers to innovate faster and more efficiently. This is a fantastic opportunity for a skilled platform engineer who is passionate about AI infrastructure and wants to make a significant impact in a remote setting.

Key Responsibilities

• Design, build, and manage scalable cloud-based infrastructure for AI/ML workloads.
• Develop and maintain robust MLOps pipelines for automated model training, deployment, and monitoring.
• Create and manage tools and frameworks that simplify the AI development lifecycle for internal users.
• Ensure the reliability, performance, and security of the AI platform.
• Collaborate with data scientists, ML engineers, and software engineers to understand their platform needs.
• Implement infrastructure-as-code (IaC) solutions for efficient resource management.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• 5+ years of experience in software engineering or platform engineering, with a focus on cloud infrastructure.
• Strong expertise in cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes, Docker).
• Proficiency in programming languages such as Python, Go, or Java.
• Experience with CI/CD tools and practices, and infrastructure-as-code tools (Terraform, Ansible).
• Understanding of machine learning concepts and the MLOps lifecycle is highly desirable.

Benefits

• Highly competitive remote salary and bonus structure.
• Full benefits package including comprehensive health coverage.
• Flexible work hours and the ability to work from anywhere.
• Access to cutting-edge technologies and professional development opportunities.
• Be a key contributor to a forward-thinking AI platform.