Data Engineer
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El puesto
Design, implement, and scale end-to-end data pipelines to ingest, transform, and load large-scale multimodal data into a data warehouse.
Collaborate with researchers to understand data needs and continuously improve data quality through validation, deduplication, and bias mitigation.
Create training sets from existing data using classical computer vision methods, vision models, and LLMs.
Optimize loading, preprocessing, and augmentation workflows to maximize training efficiency and reduce bottlenecks.
Document data schemas, processes, and transformations to ensure reproducibility and transparency for the research team.
Source new multi-modal data from public sources and stay aligned with data privacy standards.
Collaborate with researchers to understand data needs and continuously improve data quality through validation, deduplication, and bias mitigation.
Create training sets from existing data using classical computer vision methods, vision models, and LLMs.
Optimize loading, preprocessing, and augmentation workflows to maximize training efficiency and reduce bottlenecks.
Document data schemas, processes, and transformations to ensure reproducibility and transparency for the research team.
Source new multi-modal data from public sources and stay aligned with data privacy standards.
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