Remote DevOps Engineer for AI Applications

Summary

Join our team to revolutionize how machine learning models are deployed, monitored, and maintained at scale. We're seeking a dynamic and innovative DevOps Engineer for AI Applications who thrives on turning complex challenges into seamless solutions.

Requirements

• 2.5-3 years of commercial experience in a related role (e.g., DevOps Engineer, Infrastructure Engineer)
• Hands-on experience in deploying and maintaining AI applications in production environments
• Proficiency with containerization technologies (e.g., Docker) and orchestration tools like Kubernetes
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana or the ELK Stack)
• Strong knowledge of CI/CD pipelines and tools (e.g., Jenkins or GitLab CI/CD) to automate deployment processes
• Experience with at least one major cloud platform (e.g., AWS, Azure or Google Cloud)
• Solid scripting skills using languages like Bash and Python for automation tasks
• Understanding of infrastructure as code (IaC) tools (e.g., Terraform or CloudFormation)
• Proficiency in Git and understanding of branching, merging, and pull requests

Responsibilities

• Deploy and maintain AI applications in production environments
• Design and implement CI/CD pipelines to automate deployment processes
• Monitor system performance and implement optimizations as needed
• Collaborate with ML engineers and data scientists to integrate AI models seamlessly
• Manage infrastructure using containerization and orchestration tools
• Ensure security and compliance standards are met in all deployments

Benefits

• Compensation in USD
• Remote work in Ukraine or in a similar time zone
• Adequate, friendly management and no bureaucracy
• Cozy startup atmosphere with stability from a holding company