Senior AI Systems Engineer

Placements24; Siyancuma Local Municipality; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Bonuses

Health insurance

Generous PTO

Professional development

Job summary

Placements24 is seeking a Senior AI Systems Engineer to join a high-performance engineering team in Upington. You will design, build, and optimize infrastructure supporting AI/ML operations, ensuring scalability, reliability, and performance across development and deployment pipelines.

The role requires 6+ years in systems/DevOps/MLOps, cloud platform experience, and strong Python and IaC skills. You will collaborate with data scientists and ML engineers in a remote-friendly environment, with

Qualifications

• Bachelor's degree in CS, Engineering, or related field.
• 6+ years of systems engineering/DevOps/MLOps experience.
• Experience with cloud platforms (AWS/Azure/GCP) and Kubernetes.
• Proficient in Python and infrastructure-as-code tools.
• Ability to work effectively in a remote environment.

Responsibilities

• Design and maintain scalable AI/ML infrastructure.
• Develop and manage CI/CD pipelines for AI models.
• Optimize performance and resource usage for AI workloads.
• Implement monitoring and alerting for AI infra.
• Collaborate with data scientists and ML engineers.

Skills

Python scripting

Problem-solving

Remote work readiness

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Docker

Terraform

Job description

About the Role

Our client is seeking an experienced Senior AI Systems Engineer to join their high-performance engineering team in Upington . This role is responsible for designing, building, and optimizing the infrastructure that supports our advanced AI and machine learning operations. You will work on scalable systems, ensuring efficiency, reliability, and performance for our AI development and deployment pipelines. This is a critical position for an individual passionate about the intersection of systems engineering and cutting-edge artificial intelligence technologies.

Key Responsibilities

• Design, implement, and maintain scalable and robust AI/ML infrastructure, including compute clusters, storage solutions, and networking.
• Develop and manage CI/CD pipelines for automated testing and deployment of AI models.
• Optimize system performance and resource utilization for AI workloads, ensuring cost-effectiveness.
• Implement monitoring and alerting systems to ensure the health and availability of AI infrastructure.
• Collaborate with data scientists and ML engineers to support their infrastructure needs and troubleshoot complex issues.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• Minimum of 6 years of experience in systems engineering, DevOps, or MLOps.
• Proven experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker).
• Proficiency in scripting languages such as Python and experience with infrastructure-as-code tools.
• Strong understanding of machine learning principles and the challenges of deploying AI models at scale.
• Excellent problem-solving skills and the ability to thrive in a remote work environment.

Benefits

• Competitive salary with performance-based incentives and bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible working options.
• Opportunities for professional development, training, and attending industry conferences.
• Engaging work environment focused on innovation and technological advancement.