About the Role
We are seeking a Senior SME – GIS & Remote Sensing with 8+ years of experience to lead the
architecture and development of scalable geospatial models, automated pipelines, and spatial
analytics. You will drive technical execution for large-scale water, agriculture, and climate security
projects, mentoring junior engineers and interfacing with client leadership.
Key Responsibilities
• Remote Sensing & Spatial Modeling: Design and deploy satellite-based models for crop
classification, crop health, phenology tracking, and soil moisture estimation using Optical
(Sentinel-2) and SAR (Sentinel-1) datasets.
• Hydrological & Climate Analytics: Perform surface water monitoring, conservation
structure assessments, flood mapping, and watershed analytics.
• Pipeline Automation & Scalability: Build scalable, automated workflows and pipelines for
large-scale satellite datasets using Python, Google Earth Engine (GEE), and PostGIS.
• Advanced Analytics & AI/ML: Apply machine learning, deep learning, time-series
analytics, and rule-based modeling to geospatial data streams.
• GIS Engineering & Data Management: Oversee spatial database architecture, digitization,
georeferencing, and multi-source tabular/spatial data integration.
• Validation & Quality Control: Validate predictive outputs against ground-truth field data
to continuously refine model accuracy.
• Technical Leadership & Documentation: Author technical whitepapers, architecture
designs, and methodologies; mentor junior analysts and present technical insights to
stakeholders.
Preferred Experience & Skills
• Work Experience: Minimum 5+ years of core experience in remote sensing, GIS analysis,
and geospatial software development, with a proven track record of handling enterprise
or government-scale projects.
• Education: M.Tech in Geoinformatics / M.Sc in Geospatial Engineering, Remote Sensing,
Earth Observation, or Ph.D. in Agriculture, Geospatial Technology, Remote Sensing, or
related fields from Tier 1 College
• Satellite Data Expertise: Advanced expertise in processing Sentinel-1 (SAR) and Sentinel-2
(Optical) data, including multi-temporal analysis, crop phenology, and soil moisture
estimation.
• Technical Stack & Tools: Proficiency in ArcMap, ERDAS Imagine, QGIS, Python, Google
Earth Engine (GEE), and PostGIS.
• Development & Libraries: Deep experience with Python geospatial libraries including
GDAL, Rasterio, GeoPandas, and xarray.
• Domain & AI Knowledge: Strong understanding of ML/DL algorithms, time-series
analytics, spatial analytics, hydrology, and climate science.
• Leadership & Analytical Skills: Excellent problem-solving abilities, strong technical
documentation skills, and experience mentoring team members and guiding external
stakeholders.
About Vassar Labs
Vassar Labs is a R&D technology driven company started by IIT and MIT(Boston) alumnus, building
products and solutions for global problems of Climate Change, focusing on assets and utilities
that are becoming more vulnerable to the impact of climate change. We make use of latest
technologies like IoT, AI/ML, Cloud computing, Remote Sensing, Drone, Big Data etc. and
developed Digital Transformation solutions that eliminate time consuming manual processes by
automating processes and engage stakeholders to a common platform for easy accessibility and
quick actions.
At Vassar Labs, we are harnessing AI in a wide range of economic sectors and situations to
contribute in managing environmental impacts and climate change. Building a breathable
ecosystem for water resource management, precision agriculture, sustainable supply chains,
environmental monitoring and enforcement, with enhanced weather and disaster prediction
models.
Vassar Labs has been appraised as SEI CMMI (Level 5) and holds ISO 9001:2015 and ISO
27001:2013 Certification for quality management and information security management system
respectively. We have more than 20 large scale deployments in the domain of water, agriculture
and smart cities and over 10 projects in digital transformations for some of the F500 companies.
Company Websites : https://vassarlabs.com
you can also follow us on LinkedIn : Vassar Labs IT Solutions