Data Engineering Intern - AI/ML Systems
Tasks
- Build data transformation pipelines
- Contribute to synthetic data workflows
- Create data visualizations
- Create feature engineering pipelines
- Design data ingestion pipelines
- Design feature store solutions
- Design time-series data models
- Develop data quality and monitoring frameworks
- Develop streaming data pipelines
- Document data pipeline results
- Implement data validation pipelines
- Perform exploratory data analysis
- Support event-driven architectures
- Test and validate data pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Analytical database | Azure Data | Azure Data Factory | Azure Data Lake | Azure Databricks | Data Factory | Data Lake | Data Quality | Data Validation | Data Visualization | Event Driven | Event Hubs | Event-driven architecture | Feature Engineering | Feature Store | Graph Database | MLflow | Machine Learning | Matplotlib | Plotly | PostgreSQL | Python | SQL | Schema Validation | Seaborn | Spark | Streaming Data | Time Series | Vector Database
Education
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