Computer Vision Specialist / Data Scientist

**Job Brief:** Employment Type: Contract/ Project Basis Location: Remote Project Duration: 3\-4 Months ((potential extension on project requirements) **Responsibilities** * Design, implement, and optimize semantic segmentation models for high\-resolution satellite imagery. * Train, evaluate, and improve deep learning models for structured agricultural scene analysis. * Develop data augmentation strategies and implement suitable loss functions to enhance model robustness. * Conduct hyperparameter tuning and manage experiment tracking to improve model performance. * Apply semi\-supervised learning and pseudo\-labeling techniques to enhance segmentation accuracy. * Build and maintain preprocessing pipelines for raster tiling and dataset preparation. * Work with geospatial raster data and georeferenced imagery. * Implement scalable inference pipelines for large\-area imagery processing. * Perform mask post\-processing including morphological operations and polygon extraction. * Support derivation of structural features and analytical metrics from segmentation outputs. * Generate outputs compatible with standard geospatial formats and spatial databases. * Define and monitor segmentation performance metrics such as IoU and precision/recall. * Collaborate with cross\-functional teams to validate outputs and integrate models into production workflows. **Requirements** * 4\-5 years of experience in Computer Vision or related field. * Strong proficiency in PyTorch (preferred) or TensorFlow. * Hands\-on experience with semantic segmentation architectures. * Experience working with high\-resolution satellite, aerial, or drone imagery. * Practical experience with semi\-supervised learning techniques. * Strong understanding of geospatial data, coordinate systems, and projections. * Experience with geospatial processing tools such as GDAL and Rasterio. * Familiarity with PostGIS or spatial databases. * Experience with large\-scale raster processing and sliding\-window inference. * Understanding of evaluation metrics for segmentation tasks (IoU, precision, recall). * Ability to work collaboratively in cross\-functional teams involving GIS and backend engineering.