AI Infrastructure Engineer

Role overview Lead engagements focused on the infrastructure that enables reliable production AI. The work spans the systems needed to run models efficiently, observe their behavior, and support repeatable machine-learning operations.

Responsibilities - Lead projects involving GPU compute clusters and AI infrastructure. - Design and support model-serving systems for production workloads. - Establish and improve MLOps practices across the model lifecycle. - Implement observability for large language model applications.

Requirements - Experience designing or operating infrastructure for production AI systems. - Familiarity with GPU-based workloads, model serving, and MLOps. - Ability to lead technical engagements and translate operational needs into dependable systems. - Understanding of monitoring and observability for machine-learning applications.