Moody’s is hiring for the position of Internin Noida, India. Candidates with Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
Company Name
Moody’s
Position
Intern
Qualifications
Bachelor’s/ Master’s Degree/ PhD
Batch
2022/ 2023/ 2024/ 2025
Experience
Freshers
Location
Noida, India (Hybrid)
Key Responsibilities:
Moody’s RMS Geospatial team is engaged in the development of Vision Information Transformer and Large Scale Generative AI models designed to identify features from remotely sensed datasets.
The primary goal of this advanced AI/ML technology is to analyze large volumes of satellite/aerial data efficiently, identifying specific objects and patterns within a short timeframe.
The Geospatial team is currently seeking a skilled intern who is enthusiastic about AI/ML and eager to contribute to and learn from AI projects.
Research opportunities for the intern include, but are not limited to, detecting damage severity from post-event images of wind-induced hazards, improving object detection through denoising and image enhancement, identifying high-rise clusters, and detecting changes.
During the internship, the candidate will collaborate with experienced professionals and explore cutting-edge AI technologies and algorithms within the remote sensing domain.
Eligibility Criteria:
Currently pursuing post-graduation (Masters/PhD) in Geoinformatics, Remote Sensing, Earth Sciences, or hold a Bachelor’s degree in Civil Engineering, Computer Science, or Environmental Science from a reputable institution.
Possess strong mathematical proficiency in machine learning, computer vision, and numerical techniques.
Preferred skills:
Familiarity with CNN-based AI architectures.
Comprehensive understanding of remote sensing technology, including classification, segmentation, change detection, and decorrelation algorithms for analyzing hyper/multi-spectral satellite/aerial images.
Proficiency in Python programming, with practical experience in:
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 experience with open-source platforms such as QGIS, GRASS, etc.
Familiarity with Google Earth Engine is considered advantageous.
About Company:
S&P Global Sustainable1 is the central source for sustainably intelligence from S&P Global. Sustainable1 matches customers with the ESG products, insights and solutions from across S&P Global’s divisions to help meet their unique needs. Our comprehensive coverage across global markets combined with in-depth ESG intelligence provides financial institutions, corporations and governments an unmatched level of clarity and confidence to successfully navigate the transition to a sustainable future. Our data and well-informed point of view on critical topics like energy transition, climate resilience, positive impact and sustainable finance allow us to go deep on the details that define the big picture so customers can make decisions with conviction.
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