Sr. MLOps Engineer

5 - 9 years

20 - 35 Lacs

Posted:12 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Application Link:https://app.fabrichq.ai/jobs/404e56df-c8af-4a06-ae8c-24fa4dfc456a

Job Summary:

The Senior AI Infrastructure Mgmt. Engineer will lead DevOps initiatives with expertise in Azure and AWS cloud platforms, focusing on AI/ML deployments. The role requires designing, implementing, and maintaining scalable cloud infrastructure while ensuring compliance with industry standards. The candidate will manage Linux systems, implement Infrastructure as Code, and optimize AI/ML infrastructure for performance and reliability.

Key Responsibilities

  • Possess in-depth knowledge of Linux operating systems, including CentOS, Ubuntu, and Red Hat
  • Configure and optimize Linux-based servers for performance, security, and resource utilization
  • Demonstrate hands-on experience with AWS and Azure services
  • Architect cloud solutions leveraging best practices for scalability, reliability, and cost-effectiveness
  • Implement and manage hybrid cloud environments
  • Develop and maintain Infrastructure as Code templates using Terraform or AWS CloudFormation
  • Establish version control practices for IAC templates
  • Set up cloud infrastructure stack, databases, service endpoints, GPU/CPU resource scaling
  • Deploy AI/ML applications using Docker and Kubernetes
  • Implement scaling, high availability and reliability for AI applications
  • Deploy and maintain GPU clusters for AI/ML training and inference

Skills & Requirements

Must Have Skills

  • Cloud platforms (AWS and Azure)
  • Linux administration (CentOS, Ubuntu, Red Hat)
  • Infrastructure as Code (Terraform)
  • AI/ML infrastructure deployment and management
  • Docker and Kubernetes
  • Python scripting

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