Job Description
Your mission
- Design and maintain high-throughput, scalable pipelines to ingest and organize large volumes of time-series camera and sensor data (RGB, IR, thermal, acoustic, depth, IMU).
- Own, curate, and continuously improve computer vision datasets for object detection and classification, ensuring high-quality, diverse, and statistically representative data.
- Build and operate active learning loops to prioritize high-value samples and accelerate dataset improvements.
- Write robust preprocessing and transformation pipelines using Python, NumPy, Pandas, and Albumentations for large-scale computer vision workloads.
- Manage labeling workflows, including automation, QA validation, annotation consistency checks, and dataset versioning.
- Collaborate with ML Engineers to fine-tune, train, and evaluate detection models, feeding insights back into data generation and selection.
- Analyze model weaknesses, blind spots, bias, and drift t...
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