数据平台开发实习生
Tasks
- Build AI training datasets
- Build data lake management solutions
- Build training monitoring pipelines
- Collaborate with labeling and algorithm teams
- Design and implement data collection
- Develop training pipeline
- Extract features
- Implement data ETL jobs
- Manage dataset metadata
- Manage dataset versions
- Perform data cleaning
- Run statistical analysis
- Split and track training validation and test sets
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon S3 | Apache Hive | Apache Iceberg | Apache Spark | Data Drift | Data Lake | Data Versioning | Data cleaning | Data drift monitoring | Data metadata | Data metadata management | Deep learning | Delta Lake | Drift monitoring | ETL | FastAPI | Feature Engineering | Flask | HDFS | Linux | Machine Learning | Metadata Management | PyTorch | Python | Streamlit | TensorFlow | Training Pipeline
Education
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