AI Geospatial Analyst
1 week ago
About Mahila Housing Trust
We are a non-profit organization based in Ahmedabad, founded in 1994 with the mission of providing housing and living environments for poor women and girls.
Our programs address basic civic and housing infrastructure needs, including water, sanitation, drainage, solid waste management, roads, electricity/energy, low-income housing, and secured land tenure. We facilitate access to information along with financial, legal, and technical services in housing, water, and sanitation, and energy sectors with a focus on improving the quality of lives and livelihoods of poor women and girls.
Project Overview
We are investigating the phenomenon of Urban Heat Islands to evaluate its impact on vulnerable urban populations. This project leverages AI/ML and spatial analysis tools, combined with ground-level data collected through community action.
Job Description
This role involves designing, implementing, and optimizing AI algorithms that can analyze and interpret geospatial data, such as satellite imagery and sensor data.
You will conduct literature reviews, secondary data analysis, primary data collection, and analysis, as well as report writing.
Data Integration is another key responsibility, where you will integrate AI models with GIS platforms to automate spatial data analysis and enhance decision-making processes.
Collaboration with Teams is essential, where you will work closely with GIS specialists and ground teams to develop scalable GeoAI solutions.
Continuous Learning is also important, where you will stay updated with the latest advancements in AI and GIS technologies to innovate and improve existing GeoAI systems.
Requirements
- Possess a passion for social impact
- Have at least 2 years of experience in data handling, including data collection, cleaning, processing, analysis, and visualization in climate-related data
- Familiarity with data analysis in Python (numpy, scikit-learn, matplotlib, pandas, geopandas) and R (dplyr, ggplot2, Shiny, and machine learning packages), PostGres, SQL
- Proficiency with spatial data software (ArcGIS, QGIS, etc.) is an advantage
- Experience in PyCharm or similar applications
- Demonstrated advanced data analysis skills
- Exposure to data modeling and machine learning is highly desirable
- Experience working with macro data sets and multiple projects, including Household Surveys, is desirable
- Strong written and communication skills in English and Hindi; knowledge of Gujarati is an advantage
- Candidates must understand that working in the social sector requires bonding with a diverse team and patience
- Bachelor's or Master's degree in computer science, Data Science, IT, or any other field with a significant programming component
Salary
The estimated salary for this position is ₹800,000 - ₹1,200,000 per annum, depending on qualifications and experience.
How to Apply
Please send your CV to our website – www.mahilahousingtrust.org.
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