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Job Description
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.
- Strong understanding of DevOps practices and container lifecycle management.
- Experience supporting AI or machine learning workflows through containerization.
- Bachelor’s degree or higher in Computer Engineering, Software Engineering, or a related field.
- Strong written and verbal communication skills.
- Ability to work independently in a remote, distributed team environment.
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