Job Title:  Director | AI / ML | Delhi | Engineering | Hybrid Cloud Engineering

The Team

The team drives large-scale mainframe modernization and enterprise transformation for Tier-1 global banks. It combines deep technical expertise with business development and delivery leadership to modernize legacy platforms, accelerate cloud adoption, and build future-ready digital capabilities for global financial institutions.

Your work profile

• Build and maintain on-premise GPU infrastructure, including NVIDIA DGX systems, GPU clusters, and storage.

• Configure GPU scheduling, resource quotas, and multi-instance GPU (MIG) using Kubernetes or Run.

• Deploy and optimize model serving platforms such as vLLM, Triton, and TensorRT-LLM.

• Manage containerization, networking, access controls, and security monitoring for AI workflows.

• Provide self-service AI development environments using Jupyter and Kubeflow.
  
  

  Key skills required: 

• Full-time Bachelor's degree in Engineering with 15+ Years of Exp

• 4–8+ years of experience in DevOps, SRE, or AI infrastructure operations.

• Strong expertise in Linux administration, Docker, and Kubernetes.

• Hands-on experience with NVIDIA CUDA, NCCL, and GPU performance tuning.

• Familiarity with model serving runtimes, MLflow, Kubeflow, or Red Hat OpenShift AI.

• Proficiency in Python and infrastructure automation tools such as Terraform and Ansible.