Senior MLOps Engineer – Digital Transformation (Latam)
Tasks
- Automate model training deployment monitoring workflows
- Design ML deployment pipelines
- Implement CI CD best practices for ML lifecycles
- Integrate ML models into production
- Monitor production systems and troubleshoot performance issues
- Optimize cloud infrastructure for ML systems
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Airflow Pipelines | Azure | CI/CD | Cloud platform | Docker | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | Kubeflow Pipelines | Kubernetes | MLflow | Machine Learning | Model Governance | Monitoring and observability | Python | Terraform | “as-code”
Education
N/A
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