Responsibilities

• Design, build, and maintain Docker-based environments for scalable AI training workloads.
• Develop and optimize CI/CD pipelines to improve deployment efficiency and reliability.
• Collaborate with machine learning engineers and developers to containerize applications and streamline workflows.
• Troubleshoot and resolve issues related to Docker environments in both development and production.
• Document technical processes and communicate best practices clearly across teams.
• Monitor and enhance containerized systems for performance, scalability, and security.
• Participate in code reviews and contribute to knowledge sharing within the team.

Qualifications

• Experience working with Docker for containerization and environment management.
• Proven ability to build and maintain CI/CD pipelines using modern tools. ...