MLOps Engineer
Tasks
- Coordinate Kubernetes cluster troubleshooting
- Design implement maintain MLOps pipelines
- Develop & maintain CI/CD pipelines
- Implement AWS security best practices
- Monitor troubleshoot optimize data and ML pipelines
- Set up and manage model monitoring for drift
- Streamline model development lifecycle
Perks/Benefits
- Continuous personal development
- Intellectually stimulating work environment
- International training opportunities
Skills/Tech-stack
AWS CloudFormation | AWS Lambda | AWS SageMaker | Access Control | Amazon CloudWatch | Amazon EC2 | Amazon EKS | Amazon S3 | Amazon Web Services | Bash | CI/CD | Docker | ELK Stack | Elasticsearch | GitLab CI | Grafana | Helm | Kibana | Kubernetes | Linux | Logstash | Machine Learning | Model Monitoring | Network Security | Prometheus | Python | Role-Based Access | Role-Based Access Control | Terraform | Web Services
Education
N/A
Roles
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