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AI DevOps Engineer

Fresher
Early Applicant
  • Posted 5 days ago
  • Be among the first 10 applicants

Job Description

Job Responsibilities

  • Own the deployment of the AI platform into production across cloud GPU infrastructure, managed services, and future on-premise or self-hosted environments, maintaining stability, scalability, and the flexibility to adapt as business needs evolve.
  • Build and maintain CI/CD pipelines, monitor system performance, respond to incidents, uphold SLAs, and drive cost and security optimization across all environments.
  • Skilled in cloud platforms (e.g., AWS, Azure) and containerization (e.g., Kubernetes), with the ability to deploy across both cloud and on-premise setups and select the best-fit solution based on business needs.
  • Proven experience operating AI platforms or large-scale systems, including support for multi-region and multi-environment deployments.

Job Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Proven experience in DevOps engineering, with a focus on AI/ML workflows and infrastructure.
  • Strong proficiency in cloud platforms such as AWS, Azure, or Google Cloud, including experience with cloud-native services.
  • Hands-on experience with containerization and orchestration tools like Docker and Kubernetes.
  • Proficiency in scripting and programming languages such as Python, Bash, or Go.
  • Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
  • Familiarity with AI/ML frameworks and tools such as TensorFlow, PyTorch, or Scikit-learn.
  • Strong understanding of networking, security, and system administration principles.
  • Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
  • Strong communication skills to effectively collaborate with cross-functional teams.

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About Company

Job ID: 153607217

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