AI/ML Infrastructure Engineer

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

Benefits offered by this job

Competitive salary

Comprehensive health benefits

Retirement benefits

Generous annual leave

Learning & development opportunities

Collaborative environment

Job summary

Placements24 in Soweto is seeking an AI/ML Infrastructure Engineer to design, build, and maintain scalable cloud-based infrastructure for enterprise ML workloads. You will collaborate with data scientists and software engineers to ensure performance, reliability, and cost efficiency across platforms.

The role emphasizes CI/CD for ML models, container orchestration with Docker/Kubernetes, and IaC with Terraform or similar.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years in infrastructure engineering, DevOps, or SRE focused on ML systems.

Responsibilities

• Design, implement, and manage scalable cloud-based infrastructure for AI/ML workloads.
• Develop and maintain CI/CD pipelines for machine learning models and data processing.
• Optimize infrastructure performance, reliability, and cost-effectiveness.
• Implement monitoring, logging, and alerting solutions for AI/ML environments.
• Collaborate with engineering teams to troubleshoot and resolve infrastructure issues.

Skills

DevOps

SRE

Python scripting

Linux

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

Terraform

Job description

About the Role

Our client is looking for a skilled AI/ML Infrastructure Engineer to support their cutting-edge AI initiatives in Soweto . This role is focused on building, deploying, and maintaining the robust infrastructure necessary for large-scale machine learning operations. You will work closely with data scientists and engineers to ensure our AI platforms are performant, scalable, and reliable. This is an excellent opportunity to contribute to critical AI projects and shape the technological foundation for future innovations.

Key Responsibilities

• Design, implement, and manage scalable cloud-based infrastructure for AI/ML workloads.
• Develop and maintain CI/CD pipelines for machine learning models and data processing.
• Optimize infrastructure performance, reliability, and cost-effectiveness.
• Implement monitoring, logging, and alerting solutions for AI/ML environments.
• Collaborate with engineering teams to troubleshoot and resolve infrastructure issues.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in infrastructure engineering, DevOps, or SRE, with a focus on ML systems.
• Proficiency with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code tools.
• Experience with containerization (Docker, Kubernetes) and MLOps principles.
• Strong scripting skills (Python, Bash) and understanding of Linux systems.

Benefits

• Competitive salary and performance incentives.
• Comprehensive health and retirement benefits.
• Generous annual leave and paid time off.
• Opportunities for continuous learning and professional development in AI.
• A collaborative and innovative work environment in Soweto .