AI Workload Engineer

6 days ago

Bengaluru, Karnataka, India beBeeSolution Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
Infrastructure Platforms Architect

We are seeking an experienced professional to design and build platforms for AI workloads.

Key Responsibilities:

  • Design and develop infrastructure platforms using HPE Private Cloud AI and HPE AI Factory solutions.
  • Integrate Kubernetes with AI/ML workloads and GPU infrastructure in hybrid or private cloud environments.
  • Architect high-performance computing clusters, including GPU/compute nodes and HPC storage technologies.
  • Manage projects from inception to delivery, ensuring alignment with business objectives.

Requirements:

  • 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.
  • Familiarity with HPC workload schedulers like Slurm or Altair PBS Pro.
  • 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.

Necessary Skills:

  • Demonstrated success in delivering infrastructure projects.
  • Ability to collaborate with cross-functional teams and align technical solutions with business goals.
  • Familiarity with DevOps/MLOps practices, including CI/CD, Infrastructure as Code (IaC), and cloud-native security.

Note:

  • Candidates with strong Kubernetes or HPC and AI/ML experience but limited infrastructure hardware exposure may be considered if they demonstrate trainability in server and platform environments.

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