Senior AI Systems Engineer

Placements24; Vereeniging; On-site; ZAR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Annual performance bonus

Medical aid

Retirement fund contributions

Generous annual leave

Job summary

Placements24 is seeking a Senior AI Systems Engineer to join our client’s Vereeniging, Gauteng team. Design, develop, and optimize AI systems and infrastructure, ensuring scalability, reliability, and production readiness across AI and ML platforms.

You will build and manage MLOps pipelines, containerize with Docker/Kubernetes, collaborate with researchers and engineers, and implement automated monitoring, security, and performance improvements.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or a related field.
• 5+ years of experience in systems engineering, software development, or MLOps.
• Proven experience in designing, deploying, and managing AI/ML systems.
• Strong proficiency in scripting languages (Python, Bash).
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with CI/CD pipelines and automation tools.
• Solid understanding of machine learning concepts and workflows.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Responsibilities

• Design, build, and maintain scalable and robust AI infrastructure and systems.
• Implement and manage MLOps pipelines for efficient model training, deployment, and monitoring.
• Optimize AI model performance and resource utilization in production environments.
• Develop and manage containerization strategies (e.g., Docker, Kubernetes) for AI applications.
• Collaborate with data scientists and ML engineers to troubleshoot and resolve system-level issues.
• Ensure the security, reliability, and availability of AI systems.
• Automate system administration tasks related to AI infrastructure.
• Stay current with emerging trends and technologies in AI systems engineering and MLOps.
• Contribute to architectural decisions and technical roadmap for AI infrastructure.

Skills

Python

Bash

MLOps

AI/ML concepts

Cloud platforms

CI/CD

Teamwork

Problem solving

AWS

Azure

GCP

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

About the Role

Our client, a leader in advanced AI solutions, is looking for a Senior AI Systems Engineer to join their innovative team in Vereeniging, Gauteng . This role is critical for the design, development, and optimization of complex AI systems and infrastructure. You will work on challenging projects that involve integrating cutting‑edge AI technologies, ensuring scalability, reliability, and performance. The ideal candidate possesses a strong background in systems engineering, machine learning operations (MLOps), and software development, with a passion for building robust AI platforms. You will collaborate closely with AI researchers, data scientists, and software engineers to bring AI models from research to production. This position offers an excellent opportunity to work with state‑of‑the‑art technology, contribute to impactful projects, and grow within a dynamic and forward‑thinking company. The role is based in our well‑equipped facilities in Vereeniging, Gauteng .

Key Responsibilities

• Design, build, and maintain scalable and robust AI infrastructure and systems.
• Implement and manage MLOps pipelines for efficient model training, deployment, and monitoring.
• Optimize AI model performance and resource utilization in production environments.
• Develop and manage containerization strategies (e.g., Docker, Kubernetes) for AI applications.
• Collaborate with data scientists and ML engineers to troubleshoot and resolve system‑level issues.
• Ensure the security, reliability, and availability of AI systems.
• Automate system administration tasks related to AI infrastructure.
• Stay current with emerging trends and technologies in AI systems engineering and MLOps.
• Contribute to architectural decisions and technical roadmap for AI infrastructure.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in systems engineering, software development, or MLOps.
• Proven experience in designing, deploying, and managing AI/ML systems.
• Strong proficiency in scripting languages (e.g., Python, Bash).
• Hands‑on experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with CI/CD pipelines and automation tools.
• Solid understanding of machine learning concepts and workflows.
• Excellent problem‑solving and analytical skills.
• Strong communication and teamwork abilities.

Benefits

Our client offers a highly competitive salary, annual performance bonuses, and a comprehensive benefits package including excellent medical aid, retirement fund contributions, and generous annual leave. Employees have access to cutting‑edge technologies and development tools, ongoing professional development opportunities, and the chance to work on impactful AI projects. The role is based in our modern facility in Vereeniging, Gauteng , offering a stimulating work environment.