AI Systems Engineer

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work flexibility

Professional development and training

Pension fund

Job summary

Placements24 is seeking an experienced AI Systems Engineer in Nelspruit to design, build, and maintain robust AI infrastructure and MLOps pipelines. The role supports data scientists and researchers through scalable, reliable cloud-based services in a hybrid work environment.

The ideal candidate has a strong background in systems engineering, cloud computing, and AI/ML workflows, collaborating with cross-functional teams to accelerate AI innovation and optimize performance.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in systems engineering, DevOps or MLOps.
• Strong knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience with Docker and Kubernetes.
• Familiar with CI/CD pipelines and tools.
• Proficiency in Python or Bash.
• Excellent problem-solving and teamwork skills.
• Hybrid work setup experience is a plus.

Responsibilities

• Design, build, and maintain scalable AI infra and MLOps pipelines.
• Manage cloud-based AI services (SageMaker, Azure ML, GCP).
• Develop and automate ML deployment processes.
• Monitor performance, identify bottlenecks, optimize.
• Ensure security, reliability, availability of AI systems.
• Collaborate with data scientists and engineers on infra needs.
• Troubleshoot AI systems and platforms.
• Manage Docker and Kubernetes orchestration.
• Document architecture, configurations, operations.
• Stay updated on AI infra trends.

Skills

Systems engineering

DevOps

MLOps

Cloud computing

Python

CI/CD

Troubleshooting

Communication

Teamwork

Hybrid work

Education

Bachelor's degree in Computer Science or Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

About the Role

Our client is seeking an experienced AI Systems Engineer to join their technology team in Nelspruit . This hybrid role involves the design, development, and maintenance of robust AI infrastructure and systems that support advanced machine learning operations. You will play a key part in ensuring the scalability, reliability, and efficiency of our AI platforms, enabling data scientists and researchers to perform their work seamlessly. The ideal candidate will have a strong background in systems engineering, cloud computing, and a solid understanding of AI/ML workflows. You will collaborate closely with various technical teams to architect and implement solutions that accelerate AI innovation. This is an excellent opportunity to contribute to cutting-edge AI projects within a supportive and dynamic environment in Nelspruit , benefiting from the flexibility of a hybrid work arrangement.

Key Responsibilities

• Design, build, and maintain scalable AI infrastructure and MLOps pipelines.
• Implement and manage cloud-based AI services (e.g., AWS SageMaker, Azure ML, GCP AI Platform).
• Develop and automate deployment processes for machine learning models.
• Monitor system performance, identify bottlenecks, and implement optimizations.
• Ensure the security, reliability, and availability of AI systems.
• Collaborate with data scientists and engineers to understand their infrastructure needs.
• Troubleshoot and resolve issues related to AI systems and platforms.
• Manage containerization technologies like Docker and orchestration tools like Kubernetes.
• Stay updated on emerging technologies and best practices in AI infrastructure and MLOps.
• Document system architecture, configurations, and operational procedures.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in systems engineering, DevOps, or MLOps.
• Strong understanding of cloud computing platforms (AWS, Azure, or GCP).
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Familiarity with CI/CD pipelines and tools.
• Knowledge of AI/ML concepts and workflows is highly desirable.
• Proficiency in scripting languages such as Python or Bash.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and teamwork abilities.
• Ability to work effectively in a hybrid team setting.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development and training.
• Exposure to cutting-edge AI technologies and projects.
• Hybrid work flexibility to balance remote and office work.
• A collaborative and innovative work culture in Nelspruit .
• Contribute to the advancement of AI systems.
• Pension fund and other company benefits.