Senior Infrastructure Engineer, AI/ML Systems
Core
Build and operate deployment pipelines and infrastructure for AI/ML services, taking models from prototype to production and ensuring reliability at scale.
Role type
Senior Infrastructure Engineer (AI/ML Systems)
Builds
Production-ready AI services, model serving pipelines, and orchestration workflows for an education technology platform.
Domain
Education technology, Artificial Intelligence, Machine Learning
Deliverable
production ML models
Required skills
AWS services, Infrastructure-as-code (Terraform/CDK/CloudFormation), Containerization (Docker), Kubernetes/ECS/EKS, CI/CD pipeline design, Workflow orchestration (Airflow/Dagster/Argo/Step Functions), System design, Production monitoring and debugging
Preferred skills
ML platform components, LLM/retrieval-based systems, Graph databases, Internal tooling development
Responsibilities
Build and operate CI/CD pipelines for AI services; Deploy and manage model serving and batch scoring pipelines; Partner with data scientists to transition prototypes to production; Own production reliability including monitoring, alerting, and performance optimization; Create reusable infrastructure templates to accelerate team delivery.
Seniority
Senior, hands-on IC
