AI/ML Infrastructure Engineer

Placements24; Upington; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary

Medical aid

Learning opportunities

Hybrid work in Upington

Job summary

Placements24 is seeking an AI/ML Infrastructure Engineer in Upington to design, build, and optimize scalable infrastructure for ML development, training, and inference. You will manage cloud services and CI/CD pipelines to support data scientists and ML engineers.

The role demands experience with Docker/Kubernetes, IaC tools, and scripting, in a hybrid work setting based in Upington. A strong systems engineering background is essential.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years in infrastructure engineering with cloud platforms (AWS, Azure, GCP).
• Proven experience AI/ML workloads; familiarity with ML frameworks and tools.
• Strong containerization (Docker, Kubernetes) and IaC (Terraform, Ansible).
• Proficiency in Python or Bash scripting.
• Ability to manage complex systems in a hybrid Upington-based environment.

Responsibilities

• Design, implement, and maintain scalable infra for AI/ML development, training, and inference.
• Manage cloud-based ML platforms and services (AWS SageMaker, Azure ML, Google AI Platform).
• Optimize infra for performance, cost, reliability of AI/ML workloads.
• Implement and manage CI/CD pipelines for ML models (MLOps).
• Monitor system performance, troubleshoot issues, ensure high availability.
• Collaborate with data scientists and ML engineers to support infra needs.

Skills

Python scripting

Problem solving

Hybrid environment mgmt

Education

Bachelor's degree in Computer Science/Engineering

Tools

Docker

Kubernetes

Terraform

Ansible

AWS

Azure

GCP

Job description

About the Role

Our client is seeking a skilled AI/ML Infrastructure Engineer to join their technology operations team in Upington . You will be responsible for building, managing, and optimizing the infrastructure that supports our artificial intelligence and machine learning development and deployment pipelines. This role requires a strong background in systems engineering, cloud computing, and a solid understanding of the unique demands of AI/ML workloads. You will ensure that our ML platforms are robust, scalable, and efficient, enabling data scientists and engineers to develop and deploy models rapidly and reliably. Your work will be critical in accelerating our AI initiatives and maintaining high performance.

Key Responsibilities

• Design, implement, and maintain scalable infrastructure for AI/ML development, training, and inference.
• Manage cloud-based ML platforms and services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
• Optimize infrastructure for performance, cost-efficiency, and reliability of AI/ML workloads.
• Implement and manage CI/CD pipelines for ML models (MLOps).
• Monitor system performance, troubleshoot issues, and ensure high availability of ML infrastructure.
• Collaborate with data scientists and ML engineers to understand their infrastructure needs and provide support.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in infrastructure engineering, with a focus on cloud platforms (AWS, Azure, GCP).
• Proven experience supporting AI/ML workloads, including familiarity with ML frameworks and tools.
• Strong understanding of containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, Ansible).
• Proficiency in scripting languages such as Python or Bash.
• Excellent problem-solving skills and the ability to manage complex systems in a hybrid environment based in Upington .

Benefits

• Competitive annual salary with performance-based incentives.
• Comprehensive medical aid, retirement fund, and other benefits.
• Opportunities for continuous learning and certifications in cloud and AI infrastructure.
• Work with cutting-edge AI technologies and infrastructure in a supportive team environment.
• Hybrid work arrangement offering a blend of office and remote work in Upington .