At Moodys, we unite the brightest minds to turn today s risks into tomorrow s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are -with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills and Competencies
Strong mathematical concepts in machine learning, computer vision, and numerical techniques
Knowledge of CNN based AI-architectures
Good understanding in remote sensing technology including classification, segmentation, change detection, decorrelation algorithms for identifying the classes/objects in hyper/multi - spectral satellite/ aerial images.
Strong Python programming skills and hands on exposure to
Machine Learning Libraries- Scikit-Learn, Scikit-Image, Tensorflow, Keras, GluonCV and PyTorch
Image processing and Geospatial Libraries - OpenCV, GDAL, Geopandas and RasterIO
Knowledge of ESRI GIS software products and hands on exposure to open- source platform such as QGIS, GRASS etc.
Familiarity with Google Earth Engine would be a plus
Education
Pursuing post-graduation (Masters/PhD) in Geoinformatics, Remote Sensing, Earth Sciences or Graduate in Civil Engineering, Computer Science, Environmental Science from an institute of good repute
Role and Responsibilities
Moody s RMS Geospatial team is working on Vision Information Transformer and Large Scale Generative AI models to detect the features from remotely sensed datasets
The aim of this state-of-art AI/ML technology is to process gigabytes of satellite/aerial data to identify defined objects and patterns in a short span of time
Geospatial team is currently seeking a skilled intern who is passionate about AI/ML and willing to contribute as well as learn from AI projects
The research prospects include but are not limited to damage severity detection from wind-induced hazards post-event images, denoising and image enhancement for better object detection, high-rise cluster detection, and change detection
Candidate during the internship will work with experienced professionals and explore cutting-edge AI technologies and algorithms in the remote sensing domain