Senior DevOps and AI/ML Engineer
5 days ago
Job Application
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
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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