Job Description

Responsibilities

  • Develop CI/CD pipelines that automate building, testing, and deploying of AI powered applications
  • Maintain and monitor cloud infrastructure, ensuring performance, availability, and cost-efficiency
  • Manage infrastructure-as-code and configuration management across environments
  • Collaborate with MLOps and engineering teams to design, automate, and monitor model-deployment pipelines
  • Implement logging, alerting, and observability tools to ensure system reliability and rapid incident resolution
  • Apply security best practices and ensure compliance with internal IT and regulatory policies

Qualifications

  • 5-8 years of experience in DevOps or infrastructure engineering, ideally supporting ML or data platforms
  • Strong experience with CI/CD tools (e.g., GitLab CI, Jenkins, ArgoCD) and cloud platforms (e.g., Azure, AWS, GCP)
  • Proficiency in infrastructure-as-code tools (e.g., T...

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