ML Data Engineer - Computer Vision, Video & Sensor Data

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 to derive actionable data improvements. - Create internal tools and dashboards to visualize, audit, and analyze dataset quality, diversity, long-tail distributions, and model performance gaps. Your profile: - Strong experience in Python and data process...