EY Enterprise is a Karachi-based EPC company specializing in renewable energy, electrical infrastructure development, and customized solar solutions for residential, commercial, and industrial clients. With over 100+ successful solar EPC installations across Pakistan, we deliver end-to-end engineering solutions that meet the country’s evolving energy demands.
As we expand our operations, we are seeking a Cloud & AI Infrastructure Engineer to strengthen our Tech Teams.

About Us
EY Enterprise is a Karachi-based EPC and engineering solutions company specializing in solar energy, battery energy storage systems (BESS), smart monitoring, and asset performance management.

We are expanding our capabilities beyond traditional EPC into AI-driven energy analytics, predictive O&M, and cloud-hosted monitoring platforms. To support this transformation, we are hiring a Cloud & AI Infrastructure Engineer.

Position Overview
As a Cloud & AI Infrastructure Engineer, you will design, deploy, and manage GPU-based cloud environments that power AI/ML workloads, energy analytics platforms, and customer-facing monitoring solutions.

You will work closely with engineering, data, and product teams to enable scalable, secure, and cost-efficient AI infrastructure.

Key Responsibilities

• Deploy and manage GPU cloud environments for AI/ML workloads
• Work with global GPU providers (AWS, Azure, GCP, Lambda Labs, CoreWeave, etc.)
• Support onboarding and execution of customer AI/ML workloads
• Containerize workloads using Docker and manage environments on Linux
• Optimize GPU utilization, performance, and cloud costs
• Build and maintain demo environments, PoCs, and production pipelines
• Implement basic DevOps and CI/CD pipelines for ML workloads
• Monitor system health, logs, and performance
• Collaborate with engineering teams on AI-enabled energy monitoring and analytics platforms