Join a dynamic team focused on building and optimizing AI infrastructure. This role is perfect for those who thrive in complex environments and have a passion for machine learning operations.
As an AI Platform Engineer, you will be at the forefront of designing and optimizing AI infrastructure for enterprise applications. Your work will involve creating robust MLOps platforms that support machine learning workflows in a regulated environment. This role is ideal for individuals who enjoy tackling complex challenges and are eager to contribute to the advancement of AI technologies.
In your day-to-day activities, you will work closely with cross-functional teams to ensure the seamless integration of AI solutions. You will be responsible for:
The ideal candidate will have experience with MLOps platforms like MLflow, Kubeflow, or Airflow, and a strong background in Microsoft Azure. Familiarity with Kubernetes is essential, as it will be a key component of the infrastructure you will manage. This role suits professionals who are passionate about AI and have a solid understanding of cloud technologies.
If you are looking to make a significant impact in the AI field and work in a collaborative environment, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.