Remote AI Infrastructure Engineer (MLOps & Cloud)

Placements24

Polokwane

Hybrid

ZAR 1,597,000 - 2,235,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
Fully remote work
Home office allowance
Professional development
Collaborative team culture

Job summary

Placements24 is hiring an AI Infrastructure Engineer for a fully remote team. You will design and optimize scalable AI/ML infrastructure, enable model training and deployment, and implement MLOps practices for the full lifecycle. The role requires 4+ years in DevOps/SRE, strong scripting and IaC skills, and experience with containers and cloud platforms.

The position offers a competitive salary, full remote flexibility, and opportunities to work with cutting-edge AI technologies.

Qualifications

  • Bachelor's degree in CS, Engineering or related field.
  • 4+ years in infrastructure engineering, DevOps or SRE.
  • Experience with cloud providers (AWS/Azure/GCP) and/or on-premise clusters.
  • Familiarity with AI/ML infra needs for training and deployment.
  • Proficiency in Python and IaC tools like Terraform/Ansible.
  • Experience with containers (Docker, Kubernetes).

Responsibilities

  • Design, deploy, and manage scalable AI/ML infrastructure.
  • Implement MLOps practices for the AI lifecycle.
  • Optimize performance for training/inference workloads.
  • Develop automation for provisioning, config, and monitoring.
  • Collaborate with AI researchers to meet infra needs.
  • Ensure security, stability, and cost-effectiveness of infra.

Skills

Cloud infrastructure
SRE/DevOps
Python scripting
Terraform/Ansible
Docker/Kubernetes

Education

Bachelor's degree in CS/Engineering

Tools

Terraform
Ansible
Docker
Kubernetes

Job description

Placements24 is hiring an AI Infrastructure Engineer for a fully remote team. You will design and optimize scalable AI/ML infrastructure, enable model training and deployment, and implement MLOps practices for the full lifecycle. The role requires 4+ years in DevOps/SRE, strong scripting and IaC skills, and experience with containers and cloud platforms.

The position offers a competitive salary, full remote flexibility, and opportunities to work with cutting-edge AI technologies.

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