AI Systems Engineer

Placements24; Kempton Park; On-site; ZAR 520,000 - 900,000; Full time

Benefits offered by this job

Health benefits

Retirement fund contributions

Professional development opportunities

Job summary

Placements24 is seeking an AI Systems Engineer to design, implement, and maintain scalable AI infrastructure in Tembisa, Gauteng. You will collaborate with data scientists and software developers to deploy ML models and optimize performance across environments.

Ideal candidates have 3+ years in systems engineering, strong cloud experience (AWS/Azure/GCP), and hands-on scripting with Python, Docker, and Kubernetes. This role emphasizes reliability, security, and ongoing innovation in AI platforms.

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 3+ years in systems engineering, DevOps, or MLOps.
• Experience with AWS/Azure/GCP for AI/ML.
• Proficiency in Python, Bash, or PowerShell.
• Experience with Docker and Kubernetes.
• Familiarity with CI/CD tools (Jenkins, GitLab CI, CircleCI).
• Understanding of ML lifecycle and concepts.
• Knowledge of IaC tools like Terraform/Ansible is a plus.

Responsibilities

• Design, build, and manage scalable AI infrastructure and services.
• Deploy ML models to production and ensure integration with systems.
• Develop CI/CD pipelines for AI/ML workflows.
• Monitor AI system performance and optimize bottlenecks.
• Implement MLOps to streamline ML lifecycle.
• Collaborate with data scientists and software engineers to resolve issues.
• Ensure security and integrity of AI systems and data.
• Automate tasks and deployments using scripting and tools.
• Stay updated on AI infrastructure, cloud tech, and MLOps tools.
• Contribute to documentation and knowledge sharing.

Skills

Problem-solving

Communication

Analytical ability

Education

Bachelor's degree in Computer Science or Engineering

Tools

Python

Docker

Kubernetes

Terraform

Ansible

Jenkins/GitLab CI/CircleCI

Job description

About the Role

Our client is a pioneering technology firm looking for a skilled AI Systems Engineer to join their innovative team. This role is critical for the design, implementation, and maintenance of robust AI systems and infrastructure that support our advanced machine learning models and applications. You will work on ensuring the scalability, reliability, and performance of our AI platforms, collaborating closely with data scientists and software developers. The ideal candidate has a strong background in systems engineering with a passion for AI technologies. This position is located in Tembisa, Gauteng, ZA

Key Responsibilities

• Design, build, and manage scalable and reliable AI infrastructure, including hardware and software components.
• Deploy and manage machine learning models into production environments, ensuring seamless integration.
• Develop and maintain CI/CD pipelines for AI/ML workflows, enabling efficient model training and deployment.
• Monitor the performance of AI systems, identify bottlenecks, and implement optimizations.
• Implement and manage MLOps practices to streamline the machine learning lifecycle.
• Collaborate with data scientists and software engineers to troubleshoot and resolve system-related issues.
• Ensure the security and integrity of AI systems and data.
• Automate system tasks and deployments using scripting and relevant tools.
• Stay updated with the latest advancements in AI infrastructure, cloud technologies, and MLOps tools.
• Contribute to technical documentation and knowledge sharing within the engineering team.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in systems engineering, DevOps, or MLOps.
• Strong experience with cloud platforms (AWS, Azure, GCP) and their relevant services for AI/ML.
• Proficiency in scripting languages such as Python, Bash, or PowerShell.
• Experience with containerization technologies (Docker) and orchestration tools (Kubernetes).
• Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).
• Understanding of machine learning concepts and the ML lifecycle.
• Experience with infrastructure as code tools (e.g., Terraform, Ansible) is a plus.
• Knowledge of networking, security, and database management principles.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Benefits

Our client offers a competitive salary, comprehensive health benefits, retirement fund contributions, ample opportunities for professional development and training, and a dynamic work environment that encourages innovation. Join our client and play a key role in building cutting-edge AI systems in Tembisa, Gauteng, ZA