AI Infrastructure Engineer

About the Role

Our client is looking for a skilled AI Infrastructure Engineer to join their growing team in Upington . This role is crucial for designing, building, and maintaining the robust infrastructure required to support large-scale AI development and deployment. You will work with cutting-edge technologies to ensure high availability, performance, and scalability of our AI platforms. Join a team committed to building the foundational systems that power our AI innovations and drive operational excellence.

Key Responsibilities

• Design, implement, and manage scalable and reliable AI infrastructure, including compute, storage, and networking.
• Deploy and maintain ML platforms, MLOps tools, and associated frameworks.
• Monitor system performance, troubleshoot issues, and implement optimizations for AI workloads.
• Collaborate with AI researchers and engineers to understand their infrastructure needs.
• Ensure security, compliance, and cost-efficiency of the AI infrastructure.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in infrastructure engineering, with a focus on AI/ML environments.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with infrastructure as code tools (e.g., Terraform, Ansible).
• Strong understanding of distributed systems, networking, and system administration.

Benefits

• Competitive salary and performance-based rewards.
• Comprehensive health, retirement, and other benefits.
• Opportunities to work with advanced AI technologies and infrastructure.
• Professional development and training opportunities.
• Be a key player in building the foundation for AI innovation in Upington .

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