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Workload Solutions Engineer (AI/ML, HPC)

Wissda

 

Bangalore, Karnataka, India

Posted On: 30+ days ago
Experience: 12+ years
Availability: Hybrid
Openings: 1
Category: Workload Solutions Engineer
Tenure: No Preference/Any
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Description

You will architect and deploy HPC infrastructure solutions to support intensive AI/ML and analytics workloads.

Responsibilities

  • Design and deploy HPC hardware infrastructure and cluster-wide solutions.
  • Collaborate with application teams to deploy specific use-cases within HPC clusters.
  • Manage workload scheduling using SLURM and Singularity containers.
  • Perform parallelism performance testing, tuning, and cluster-wide troubleshooting.
  • Automate infrastructure tasks using Ansible, Terraform, and various scripting toolkits.

Required Skills

  • 12+ years of industry experience with 5+ years as an HPC Infrastructure Solution Architect.
  • Hands-on expertise with Linux OS administration and performance tuning.
  • Experience with container technologies including Kubernetes, Docker, and Singularity.
  • Proficiency in SLURM workload scheduling.
  • Advanced programming skills in Python, PowerShell, JavaScript, or Node.js.
  • Experience with automation tools such as Ansible and Terraform.
  • Demonstrated experience in hardware deployment, including server, storage, and networking.
  • Proven background in AI/ML, Analytics, or HPC use-case segments.
  • Experience working within Agile development practices.

Education

Any Graduate

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