Remote DevOps/MLOps Engineer
Tasks
- Automate deployment scaling and operations
- Build and maintain containerized infrastructure
- Collaborate with engineers and data scientists on deployment requirements
- Deploy, monitor, and maintain ML models in production
- Design CI CD pipelines for applications and ML workflows
- Ensure security, performance, and reliability
- Implement infrastructure-as-code
- Maintain infrastructure and deployment documentation
- Set up monitoring, logging, and alerting systems
- Troubleshoot infrastructure and deployment issues
Perks/Benefits
- Flexible schedule
- Paid monthly contractors via wire transfer
- Paid training
- Professional development opportunities
- Remote work flexibility
Skills/Tech-stack
AWS | Ansible | Azure | Bash | CI/CD | CloudFormation | CloudWatch | Docker | ELK Stack | GCP | GitHub Actions | GitLab CI | GitLab CI/CD | Go | Jenkins | Kubeflow | Kubernetes | MLflow | Prometheus | PyTorch | Python | SageMaker | Scikit-learn | TensorFlow | Terraform | Vertex AI
Education
N/A
Roles
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