Data Engineer
Tasks
- Analyze data impact on model training
- Apply statistical techniques to assess dataset quality
- Build production-grade data pipelines
- Create shared datasets and internal data products
- Design build data cleaning and transformations
- Develop data quality metrics and monitoring
- Evaluate and improve data quality methods
- Fuse multiple data sources into datasets
- Investigate anomalous model behavior
Perks/Benefits
- 401k
- Dental insurance
- Health insurance
- Insurance
- Life insurance
- Long-term disability
- Short-term disability
- Vision insurance
Skills/Tech-stack
Anomaly Detection | Clustering | Data Pipelines | Data Quality | Data Transformation | Data Validation | Data cleaning | Deep learning | Distributed Systems | Forecasting | Kubernetes | Machine Learning | Neural Networks | Parquet | Predictive Modeling | Python | Statistics
Education
Roles
AI | AI Engineer | Data Engineer | Engineer
Regions
Countries
States
Cities
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