As a Kubernetes AI Workload Engineer, you'll be at the forefront of building and managing AI workloads in a containerized environment. This role is perfect for those who enjoy working with cutting-edge technology and collaborating with various teams to deliver robust AI solutions.
Anicalls is looking for a Kubernetes AI Workload Engineer to join their team in Johannesburg. In this role, you will be responsible for designing, building, and supporting containerized AI workloads. Your main focus will be on ensuring reliable scaling, scheduling, and resource management for AI applications, particularly in machine learning and Generative AI. This position requires a strong understanding of Kubernetes and the ability to optimize GPU utilization for AI tasks.
Your day-to-day responsibilities will include deploying and managing AI workloads on Kubernetes, packaging applications using Docker and Helm, and collaborating with various teams to create production-ready AI platforms. You will also troubleshoot any issues related to Kubernetes clusters, networking, and deployment, ensuring that the infrastructure runs smoothly.
This role is ideal for someone who enjoys working with advanced technology and has a passion for AI. You should be comfortable collaborating with business, data, and engineering teams to deliver scalable solutions. Strong skills in Kubernetes, Docker, and AI workload management are essential, along with the ability to optimize resources effectively.
If you're ready to take on the challenge of building robust AI infrastructure and enjoy working in a dynamic environment, this position may be a great fit for you.
You'll be taken to the original listing on PNet to apply.