Design and implement state-of-the-art deep learning models for satellite image analysis, including object detection, semantic segmentation, change detection, and time-series analysis
Develop and maintain robust, scalable data processing pipelines for handling large scale geospatial data from diverse satellite sources.
Optimize ML models for production deployment, balancing accuracy with computational efficiency
Conduct research and transfer insights into practical solutions
Improving the performance of existing models and frameworks
Inspection, labeling, and cleaning of datasets
Writing clean, maintainable, and production-grade code
Analyzing impact and effectiveness of models in production systems
Create clear technical documentation and present findings to both technical and non-technical stakeholders
Collaborate with cross-functional teams, including software engineers, and subject-matter experts, to define problem statements and deliver effective technical solutions.
Xüsusi tələblər
Strong programming experience in Python
Solid coding experience in Deep Learning frameworks (e.g. TensorFlow, PyTorch).
Strong theoretical and practical background in the application of Deep Learning methodologies on Image Segmentation, Object Detection, Generative Modeling tasks
Strong mathematical aptitude to understand and apply advanced concepts in the scientific literature.
Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related field