This role is perfect for those with a strong background in AI infrastructure and cloud technologies. You'll be working in a dynamic environment, focusing on optimizing AI platforms for enterprise use.
As an AI Platform Engineer, you'll be responsible for designing and building robust AI infrastructure that meets enterprise standards. Your work will involve operating and optimizing MLOps platforms, ensuring they function effectively within a regulated environment. This role is ideal for individuals who thrive in complex settings and have a passion for AI technologies.
In your day-to-day tasks, you will: • Collaborate with cross-functional teams to understand AI needs and requirements. • Implement and manage MLOps tools like MLflow, Kubeflow, or Airflow. • Optimize cloud resources on Microsoft Azure to support AI workloads.
The ideal candidate should have a solid understanding of Kubernetes and experience with enterprise-grade AI solutions. You should be comfortable working in a fast-paced environment and be able to adapt to changing requirements. Strong problem-solving skills and a proactive approach to challenges will be essential for success in this role.
If you are looking to make an impact in the AI space and have the necessary skills, this position offers a great opportunity to work on innovative projects and contribute to the advancement of AI technologies.
You'll be taken to the original listing on PNet to apply.