Job Description

• Elixir Business Park, Plot 15A, 5th - 8th Floor, Noida, Uttar Pradesh, 201301, IN

Line Of Business: RMS(RMS)Job Category:

• Students & Early Careers

Experience Level: Early CareerAt Moody's, we unite the brightest minds to turn todayxe2x80x99s risks into tomorrowxe2x80x99s 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 plusEducationPursuing post-graduation (Masters/PhD) in Geoinformatics, Remote Sensing, Earth Sciences or Graduate in Civil Engineering, Computer Science, Environmental Science from an institute of good reputeRole and ResponsibilitiesMoodyxe2x80x99s 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.About the teamThe Model Development group focuses on developing industry leading stochastic catastrophe models for the quantification and management of catastrophe risk. From regional based earthquake and hurricane models to terrorism risk models, the industry, and our 400+ clients recognize RMS as the largest developer of catastrophe models in the risk market. RMS continues to drive industry innovation with the enhancement and expansion of our leading models. The Geospatial team of Model Development group is responsible for developing various geospatial layers/ products/ models required for catastrophe models.Working at Moodyxe2x80x99sMoodyxe2x80x99s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but donxe2x80x99t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles.Moodyxe2x80x99s is a global integrated risk assessment firm that empowers organizations to make better decisions.Candidates for Moodyxe2x80x99s Corporation may be asked to disclose securities holdings pursuant to Moodyxe2x80x99s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Moody's