AI Evaluation Engineer (QA)
Tasks
- Build scalable data pipelines
- Create data models and manage schema migrations
- Deploy and manage cloud data infrastructure
- Design data integration and storage systems
- Develop data validation and evaluation frameworks
- Establish CI CD pipelines for data solutions
- Implement infrastructure-as-code
- Lead data engineering projects across teams
- Monitor service level objectives and reliability
- Prototype end to end data applications
Perks/Benefits
- Access to cutting edge AI platforms
- Collaborative work environment
- Diverse and inclusive culture
- Growth opportunities
- Hybrid working model
Skills/Tech-stack
AWS | Azure | CI/CD | CloudFormation | Data Modeling | Data Validation | Data integration | Data pipeline | ELT | ETL | GCP | Infrastructure as Code | MLOps | Machine Learning | SLI | SLO | Schema migration | Terraform | “as-code”
Education
Roles
AI | AI Evaluation Engineer | Data Engineer | Engineer | Evaluation Engineer
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