AI Platform Engineer

Placements24; Vrystaat; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Health insurance

Learning opportunities

Team collaboration

Upington tech hub

Modern tools

Job summary

Placements24 is seeking an AI Platform Engineer to join its tech division in Upington. You will design, build and scale the core AI/ML infrastructure, enabling data science and model deployment at scale.

You will work with cloud platforms (AWS/Azure/GCP), containers (Docker/Kubernetes), and MLOps practices to improve reliability, performance and cost efficiency. A collaborative, fast-moving environment awaits.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• 3+ years in software engineering or DevOps focusing on AI/ML platforms.
• Experience with AWS/Azure/GCP and containerization (Docker, Kubernetes).

Responsibilities

• Design, implement, and manage scalable cloud-based infrastructure for AI/ML applications.
• Develop and maintain robust data pipelines for AI model training and inference.
• Implement and manage MLOps practices for efficient model lifecycle management.
• Optimize platform performance, reliability, and cost-effectiveness.
• Provide support and guidance to data scientists and ML engineers on platform usage.
• Automate infrastructure deployment and management tasks using infrastructure-as-code principles.

Skills

Cloud platforms

Docker

Kubernetes

Python

CI/CD

Education

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

Tools

Docker

Kubernetes

Terraform

CI/CD pipelines

Job description

About the Role

Our client is seeking a skilled AI Platform Engineer to join their growing technology division in Upington . You will be responsible for building, scaling, and maintaining the core infrastructure and tools that empower their data science and machine learning teams. This role requires a deep understanding of cloud computing, distributed systems, and the specific needs of AI/ML workflows, including data management, model training, and deployment pipelines. You will play a crucial part in enabling the organization to leverage AI effectively, ensuring a reliable, efficient, and scalable platform for innovation in artificial intelligence.

Key Responsibilities

• Design, implement, and manage scalable cloud-based infrastructure for AI/ML applications.
• Develop and maintain robust data pipelines for AI model training and inference.
• Implement and manage MLOps tools and practices for efficient model lifecycle management.
• Optimize platform performance, reliability, and cost-effectiveness.
• Provide support and guidance to data scientists and ML engineers on platform usage.
• Automate infrastructure deployment and management tasks using infrastructure-as-code principles.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering or DevOps, with a focus on AI/ML platforms .
• Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Proficiency in scripting languages such as Python or Bash.
• Familiarity with MLOps principles, CI/CD pipelines, and monitoring tools.
• Excellent problem-solving skills and experience working in a collaborative environment.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Opportunities for continuous learning and professional development in a rapidly evolving field.
• Supportive team environment focused on collaboration and innovation within the Upington tech hub.
• Access to modern development tools and technologies for building cutting-edge AI solutions.