AI Evaluation Engineer (QA)
San José, Medellin, Bogota, Mexico City, Buenos Aires
R
MXN 911K-1100K (estimate) Senior-level Full Time
Tasks
- Build data integration pipelines
- Create CI CD pipelines for data solutions
- Define data validation and evaluation frameworks
- Deploy cloud-native data infrastructure
- Design data modeling and schema migrations
- Design scalable data storage systems
- Implement infrastructure-as-code
- Improve data system reliability after incidents
- Prototype end to end data applications
- Set service level objectives and monitor SLIs
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | CloudFormation | Data Modeling | Data Pipelines | Data Validation | Data evaluation | ELT | ETL | GCP | Infrastructure as Code | Python | SQL | Schema migration | Service Level | Service level indicators | Service-Level Objectives | Terraform | “as-code”
Education
Roles
AI | AI Evaluation Engineer | Data Engineer | Engineer | Evaluation Engineer | QA Engineer
Regions
States
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