AI Platform Engineer at beebom

About the role

Build the infrastructure that powers our AI products. Design scalable ML platforms, implement feature stores, and create robust model serving architectures.

Responsibilities

• Design and build ML platform infrastructure
• Implement feature stores and model registries
• Create CI/CD pipelines for ML workflows
• Ensure high availability of model serving systems

Requirements

• BS in Computer Science or equivalent
• 4+ years in platform/infrastructure engineering
• Experience with Kubernetes, Docker, Terraform
• Knowledge of ML workflow tools (Airflow, Kubeflow, Argo)
• Familiarity with cloud ML services (AWS, GCP, Azure)

Benefits

• Competitive pay
• 401k matching
• Parental leave
• Home office stipend