MLOps Engineer (Multinacional)
Tasks
- Administer Databricks Mosaic AI platform
- Deploy ML pipelines
- Implement infrastructure as code with Terraform
- Manage ARM templates
- Manage Databricks Jobs and Workflows
- Manage Docker containers and logs
- Manage agent lifecycle
- Monitor agents and log performance
- Monitor with Grafana
- Monitor with Prometheus
- Orchestrate inference environments with Kubernetes
- Orchestrate multi-agent systems
- Set up CI CD pipelines for ML models and data pipelines
- Use MLflow for model lifecycle
Perks/Benefits
Skills/Tech-stack
ARM Templates | Amazon Web Services | Azure | CI/CD | Cloud platform | Databricks | Docker | Google Cloud | Google Cloud Platform | Grafana | Kubernetes | MLflow | Mosaic AI | Prometheus | Terraform | Web Services
Education
N/A
Roles
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