AI Data Engineer
Tasks
- Analyze user behavior patterns
- Build and maintain vector databases
- Create synthetic datasets for testing
- Define data architecture
- Design and implement data pipelines (ETL/ELT)
- Ensure data quality, consistency, and governance
- Generate and optimize code with AI coding assistants
- Generate technical documentation
- Implement API data connections
- Implement automated monitoring and anomaly detection
- Monitor pipeline performance and resolve incidents
- Normalize and clean unstructured data with LLMs
Perks/Benefits
- Additional paid time off
- Banco Chile Discount
- Catastrophic insurance
- Childcare allowance
- Dental insurance
- Diversity and inclusion
- Gym membership discount
- Health insurance
- Life insurance
- Relocation support
Skills/Tech-stack
A/B | A/B Testing | API Integration | Anomaly Detection | B testing | Cohort Analysis | Data Governance | Data Pipelines | Data Quality | ELT | ETL | Embeddings | Funnel Analysis | LLM | Langchain | Llamaindex | NoSQL | RAG | SLA compliance | SQL | Synthetic data | User Analytics | Vector Databases
Education
N/A
Roles
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