AI Systems Engineer

16 hours ago

Ajmer, Rajasthan, India beBeeEnterprise Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title:

Solution Architect

We are seeking a skilled professional to design and build platforms that support enterprise-grade AI workloads. The ideal candidate will have experience with Kubernetes, HPC, and AI/ML frameworks.

  • Kubernetes Expertise:
    • Proficiency in container orchestration platforms, especially Red Hat OpenShift, SUSE Rancher, and CNCF Kubernetes.
    • Experience with GPU-accelerated workloads and tools like NVIDIA GPU Operator and DCGM.
    • Proven ability to integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments.
Required Skills and Qualifications:
  • Experience architecting HPC clusters, including GPU/compute nodes and HPC storage technologies (e.g., Lustre, WEKA, Parallel Filesystems).
  • Understanding of high-speed networking (e.g., InfiniBand, Mellanox, RoCE)
  • Experience with HPC cluster management tools such as HPE Cluster Management (HPCM) or NVIDIA Base Command Manager.
  • Familiarity with HPC workload schedulers like Slurm or Altair PBS Pro.
Infrastructure & Hardware Stack:
  • Strong background in Linux system administration (RHEL / SLES /Ubuntu) and virtualization (KVM or OpenShift Virtualization).
  • Primary focus on HPE servers and storage; experience with Dell, Lenovo, Supermicro, NVIDIA DGX/HGX platforms is acceptable.
  • Solid understanding of compute, storage, and networking fundamentals in enterprise environments.
Ai Platform Enablement:
  • Experience deploying and supporting NVIDIA AI Enterprise and related AI/ML frameworks.
  • Familiarity with DevOps/MLOps practices, including CI/CD, Infrastructure as Code (IaC), and cloud-native security.
Project Delivery:
  • Demonstrated success in infrastructure project delivery, including platform build-outs for AI/ML and HPC workloads.
  • Ability to collaborate with cross-functional teams and align technical solutions with business goals.

This is a delivery-focused role with limited presales involvement. The architect will be responsible for designing and building platforms to support enterprise-grade AI workloads.

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