ML Ops Engineer - Digital Solutions
Tasks
- Automate ML deployment monitoring and rollback
- Build and maintain ML infrastructure on cloud using infrastructure as code
- Design and manage ML CI CD pipelines from development to production
- Implement model monitoring and feedback loops
- Integrate ML models and standardize workflows
Perks/Benefits
- Agile collaborative work environment
- Continuous learning opportunities
- Flexible working model
- International work environment
Skills/Tech-stack
AWS | Agile | Amazon SageMaker | Apache Airflow | Azure | CI/CD | DevOps | Docker | GitHub Actions | GitOps | Grafana | Infrastructure as Code | Kanban | Kubernetes | MLflow | Python | SQL | Scrum | Terraform | Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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