Data/AI Engineer
Tasks
- Build and maintain data warehouse systems
- Build data pipelines
- Build event-driven architectures
- Design data and ML AI infrastructure
- Develop and maintain API endpoints
- Ensure data integrity and standardization
- Implement cloud cost containment and account management
- Implement data governance with RBAC
- Implement metadata management for automation
- Improve data reliability, efficiency and quality
- Integrate ML AI systems
- Maintain data quality standards
- Monitor model development deployment and performance improvement
- Perform data conversions and imports and exports
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS S3 | AWS Step Functions | Access Control | Amazon ECR | Amazon RDS | Apache Spark | Batch Processing | CI/CD | Cloud Governance | Data Integrity | Data Modeling | Data Quality | Databricks | Delta Lake | ELT | ETL | Embeddings | Kafka | LLM | Metadata Management | Model Serving | Python | Query Optimization | RAG Pipelines | Role-Based Access | Role-Based Access Control | SQL | Step Functions | Stream processing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer
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