AI/MLInfrastructureEngineer

Build the infrastructure layer between trained models and production applications: serving, versioning, and monitoring inference at client scale.

Responsibilities

• Build and operate model-serving infrastructure
• Work with client teams to integrate ML into existing systems
• Establish monitoring and evaluation practices for production models

Requirements

• Experience deploying ML models to production, not just training them
• Strong Python background; comfortable in a polyglot stack
• Interest in the infrastructure side of AI, not just modeling

Apply

Every application is reviewed personally.