AI Infrastructure Engineer -Delhi
Aelius Consultants Delhi · Delhi · onsite · Posted 29d ago
About a minute. You'll make an account on the way through.
About this role
AI Infrastructure Engineer
Design, implement and operate highly available, scalable and secure infrastructure platforms for enterprise AI/ML and GenAI workloads.
Key Responsibilities
Design enterprise AI infrastructure architecture.
Design GPU compute platforms for AI workloads.
Architect Kubernetes-based AI platforms.
Design cloud and hybrid AI infrastructure.
Implement GPU orchestration and resource management.
Design model-serving infrastructure.
Implement MLOps/LLMOps infrastructure.
Implement Infrastructure-as-Code.
Design CI/CD pipelines for AI workloads.
Implement monitoring, logging and observability.
Optimize GPU utilization and AI infrastructure cost.
Design high-availability and disaster-recovery architecture.
Implement infrastructure security and hardening.
Integrate AI infrastructure with enterprise IAM.
Design secure networking for AI platforms.
Support large-scale LLM deployment.
Work with AI architects, cybersecurity teams and DevOps teams.
Lead infrastructure troubleshooting and performance optimization.
Mentor junior AI infrastructure engineers.
Core Technical Skills
Linux
Kubernetes
Docker
NVIDIA GPU/CUDA
AWS / Azure / GCP
Terraform
Ansible
CI/CD
Python
Bash
MLOps / LLMOps
GPU orchestration
Model serving
Observability
Networking
Storage
IAM
High Availability / DR
Preferred Certifications
AWS Solutions Architect
Azure Solutions Architect
Google Cloud Architect
CKA/CKAD
Terraform
NVIDIA certifications
Relevant MLOps/AI infrastructure certifications
Sourced from naukri