Senior AI Infrastructure Engineer

About the Role

Our client is building an advanced platform focused on evaluating medical AI models — enabling organizations to test, analyze, and generate structured insights about model performance.

They are looking for a Senior AI Infrastructure Engineer to design and build the model worker infrastructure that allows machine learning models across different frameworks and versions to run seamlessly within a unified evaluation pipeline.

This role sits at the intersection of backend engineering, distributed systems, and AI infrastructure.

RESPONSIBILITIES:

• Design and build version-matched containerized worker environments to run customer ML models.
• Develop infrastructure to support models built using different frameworks (e.g., PyTorch, TensorFlow, ONNX).
• Build and optimize pipeline orchestration, queue systems, and artifact caching.
• Implement model intake workflows and evaluation pipelines.
• Ensure secure an...