AI Infrastructure Specialist

Design and manage hybrid AI infrastructure across on-prem GPU clusters, public cloud, and private AI cloud environments.

Architect and optimize high-performance GPU computing environments (NVIDIA GPUs, CUDA, NVLink, AI accelerators).

Deploy and manage Kubernetes-based container orchestration for AI workloads.

Build and scale ML training and inference platforms for enterprise use.

Implement and manage MLOps pipelines and model lifecycle processes.

Enable CI/CD pipelines for ML deployments and automation.

Integrate model registry, artifact storage, monitoring, and observability tools .

Manage vector databases and inference endpoints for AI applications.

Ensure infrastructure is secure, resilient, compliant, and cost-optimized .

Drive performa...