Data Engineer for AI Product
Tasks
- Build ML data pipelines
- Define reusable Python pipeline patterns
- Design feature store
- Develop data quality and drift detection systems
- Implement model serving infrastructure
- Operate data systems in production
Perks/Benefits
- Cross-functional exposure
- Direct impact on product
- Fast iteration cycle
- Unlimited access to AI tools
Skills/Tech-stack
Apache Airflow | Apache Ray | Apache Spark | Continuous Delivery | DBT | Data Architecture | Data Drift | Data Drift Detection | Data Engineering | Data Pipelines | Data Quality | Deployment | Drift Detection | Feature Store | Machine Learning | Model Registry | Model Serving | Python | Rollback | Scaling | Versioning
Education
N/A
Roles
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