AI Systems Engineer

Placements24; Soweto; On-site; ZAR 781,000 - 1,228,000; Full time

Benefits offered by this job

Competitive contract rate

Projects across diverse AI domains

Exposure to cutting-edge AI tech

Collaborative team environment

Job summary

Placements24 is seeking an AI Systems Engineer in Soweto to design, build, and deploy robust AI systems and infrastructure that support client objectives.

You will work with ML engineers and data scientists to deploy models, automate testing and deployment, and ensure system performance, security, and reliability across cloud environments.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years of experience in systems engineering, software development, or MLOps with a focus on AI/ML.
• Hands‑on experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Proficiency in Python scripting and related tools.
• Understanding of ML concepts and the ML lifecycle.
• Experience with containerization (Docker) is a plus.
• Familiarity with CI/CD principles and tools.
• Strong analytical and problem‑solving skills.
• Good communication and interpersonal skills.

Responsibilities

• Design and implement AI systems, including data pipelines, model deployment infrastructure, and integration components.
• Develop and maintain scalable and reliable cloud-based AI infrastructure.
• Collaborate with data scientists and ML engineers to deploy models into production environments.
• Automate system processes, including testing, deployment, and monitoring.
• Ensure the performance, security, and efficiency of AI systems.
• Troubleshoot and resolve technical issues related to AI system operations.
• Document system designs, configurations, and operational procedures.
• Contribute to continuous improvement of AI development and deployment processes.

Skills

Python scripting

AI/ML lifecycle

Cloud platforms (AWS/Azure/GCP)

3+ years systems engineering

Analytical & problem-solving

Communication & teamwork

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

Docker

CI/CD tools

Job description

About the Role

Our client, a dynamic technology consulting firm, is seeking a highly skilled AI Systems Engineer to join their team. This role, based in Soweto, Gauteng , will focus on designing, building, and deploying robust AI systems and infrastructure that support our clients' business objectives. You will work on a variety of projects, applying your expertise in machine learning, software engineering, and cloud technologies to deliver innovative solutions. The ideal candidate will have a strong foundation in AI/ML principles, practical experience in system implementation, and a proven ability to work with complex technical environments. This is an excellent opportunity to gain exposure to diverse AI applications and work within a collaborative, results-oriented team. We are looking for a proactive engineer who can effectively translate requirements into functional AI systems and ensure their efficient operation. Your role will be crucial in supporting client initiatives that leverage the power of artificial intelligence. The successful candidate will be adept at problem-solving and committed to delivering high-quality technical solutions.

Key Responsibilities

• Design and implement AI systems, including data pipelines, model deployment infrastructure, and integration components.
• Develop and maintain scalable and reliable cloud-based AI infrastructure.
• Work with data scientists and ML engineers to deploy models into production environments.
• Automate system processes, including testing, deployment, and monitoring.
• Ensure the performance, security, and efficiency of AI systems.
• Troubleshoot and resolve technical issues related to AI system operations.
• Collaborate with clients and internal teams to understand requirements and deliver solutions.
• Stay updated on emerging AI technologies and best practices.
• Document system designs, configurations, and operational procedures.
• Contribute to the continuous improvement of AI system development and deployment processes.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Minimum of 3 years of experience in systems engineering, software development, or MLOps, with a focus on AI/ML.
• Hands‑on experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
• Proficiency in scripting languages such as Python and experience with relevant tools.
• Understanding of machine learning concepts and the ML lifecycle.
• Experience with containerization technologies (e.g., Docker) is a plus.
• Familiarity with CI/CD principles and tools.
• Strong analytical and problem‑solving skills.
• Good communication and interpersonal skills.
• Ability to work effectively as part of a project team in the Soweto area.

Benefits

• Competitive contract rate and potential for project extensions.
• Opportunity to work on diverse and challenging AI projects.
• Exposure to cutting‑edge technologies and methodologies.
• Collaborative team environment with opportunities for skill development.
• Access to client sites and project resources.
• Flexible project scheduling where possible.
• Contribution to impactful AI solutions for various clients.
• Networking opportunities within the tech industry.
• Professional development resources and training support.
• On‑site support and project management guidance.