Senior Deep Learning Infrastructure Engineer (Remote)

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,200,000 - 1,800,000; Full time

Job summary

Placements24 is seeking a Senior AI Engineer specializing in Deep Learning Infrastructure to design, build, and maintain scalable ML infrastructure for training and deployment of large-scale models. This fully remote role welcomes candidates across South Africa and emphasizes distributed systems, cloud computing, and MLOps capabilities.

You will collaborate with AI researchers and engineers, optimize training pipelines, and contribute to a robust and secure AI platform while keeping pace with

Qualifications

• Bachelor's or Master's in CS, SE, or related field.
• 5+ years in software engineering with infrastructure/MLOps.
• Proven experience building DL infrastructure.
• Proficiency in Python and scripting.
• Experience with cloud platforms and containers (Docker/Kubernetes).
• Familiarity with TensorFlow or PyTorch.
• Strong system design and performance optimization.
• Excellent problem-solving and remote collaboration.

Responsibilities

• Design, implement, and manage scalable DL infrastructure on cloud platforms (AWS/Azure/GCP).
• Optimize training pipelines for speed and efficiency using distributed computing.
• Develop ML deployment, monitoring, and MLOps tooling.
• Collaborate with researchers to understand infrastructure needs and provide solutions.
• Ensure reliability, security, and performance of the AI platform.
• Automate provisioning, configuration, and management tasks.
• Troubleshoot training and inference issues.
• Stay up-to-date with DL infra trends and best practices.

Skills

Cloud computing

MLOps

Python

Distributed systems

Docker

Kubernetes

TensorFlow

PyTorch

System design

Networking

Remote collaboration

Education

Bachelor's or Master's in CS/SE

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Placements24 is seeking a Senior AI Engineer specializing in Deep Learning Infrastructure to design, build, and maintain scalable ML infrastructure for training and deployment of large-scale models. This fully remote role welcomes candidates across South Africa and emphasizes distributed systems, cloud computing, and MLOps capabilities.

You will collaborate with AI researchers and engineers, optimize training pipelines, and contribute to a robust and secure AI platform while keeping pace with