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4 days ago
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📋 Description

  • Lead architecture and deployment of AI/ML/GenAI solutions (LLM/SLM at scale).
  • Automate infrastructure, model lifecycle and inference pipelines.
  • Oversee CI/CD for AI/ML/GenAI workloads.
  • Design secure, scalable Azure-focused cloud infra.
  • Advise stakeholders on solution design and best practices.
  • Mentor engineers; foster GenAI innovation and cross-team alignment.

🎯 Requirements

  • 5+ years in DevOps/Cloud Eng with AI/GenAI projects.
  • Experience deploying LLMs/SLMs (serving, inference, RAG).
  • Linux/macOS admin; Windows a plus.
  • Advanced Python and scripting (Bash/PowerShell).
  • IaC (Terraform, Ansible) and CI/CD (Azure DevOps, GitHub Actions, Jenkins).
  • Azure cloud, Kubernetes, enterprise AI/ML platforms.
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