AI Platform Engineer (Enterprise AI Infrastructure)

About the role

We are seeking a Staff-Level AI Platform Engineer to build and operate enterprise-grade AI infrastructure for production systems. This role focuses on architecting and managing scalable AI platforms across training, inference, and MLOps environments. The ideal candidate must have deep experience in Kubernetes, cloud-native architectures, CI/CD pipelines, and production AI system reliability.

What you'll do

• Architect and manage AI infrastructure supporting model training and inference workloads
• Build scalable and secure AI platforms for enterprise-grade deployments
• Own reliability, availability, scalability, and security of AI systems
• Design and implement MLOps pipelines and CI/CD workflows
• Optimize Kubernetes-based deployments for AI workloads

What you need

• 8–12 yrs of experience
• AWS
• CI/CD
• Kubernetes
• MLOps
• GCP
• Azure
• Any graduate

Good to have

• Python
• Go

What you get

• ₹22 L a year