AI Data Engineer
Tasks
- Architect AI-ready datasets
- Build API services
- Build data pipelines
- Build monitoring for production models
- Collaborate with domain experts
- Develop CI/CD for ML
- Develop ETL pipelines
- Evaluate model performance
- Implement MLOps pipelines
- Implement testing strategy
- Monitor data drift
- Optimize models
- Orchestrate data ingestion
- Perform feature engineering
- Research and experiment with ML techniques
- Validate data quality
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AWS | Apache Airflow | Apache Spark | CI/CD | Dagster | Dask | Data Drift | Data Drift Detection | Data Validation | Docker | Drift Detection | Google Cloud | MLOps | Microsoft Azure | Model Monitoring | Pandas | Python | SQL | Scikit-learn
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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