Spatial Logix

About the job Spatial Logix is a geospatial-AI company that turns satellite, drone, and ground data into auditable, standards-aligned risk intelligence for infrastructure, climate, and ESG— “Making Spatial Sense.” Headquartered in New Delhi, we build cloud-native pipelines and apps (COGs, APIs, dashboards) powering site selection, hazard screening (flood, seismic, wind, landslide), and ESG insights. Our product family includes Drishtikon™ (risk & ESG intelligence), Sphatika/CTaaS (clean, COG-ready imagery), and Trinetra Change-Analytics ,. Roles & Responsibilities Assist Remote Sensing, GIS, and Data Science teams in developing and operationalising geospatial analytics and ML models for real customer use-cases. Perform imagery labelling/annotation in QGIS (e.g., point-to-polygon conversions) to prepare training datasets GIS ready files. Run GIS workflows (JS/Python) for mosaics, indices, anomalies, change detection; manage task queues and exports. Conduct geospatial analysis in QGIS/ArcGIS ; revise existing layers and create new ones following established standards/SOPs. Correct geospatial locations/features using multi-sensor imagery; coordinate data conversion and ETL workflows. Produce maps, COG/GeoTIFF outputs, CSV score tables, and PDF/PNG packs with clean legends, CRS, units, and timestamps. Collaborate cross-functionally to surface data-driven insights; document methods, assumptions, and data lineage. Apply methods from ML/AI (basic classical/geo-ML) to help solve practical problems in risk and ESG analytics. Any other company related task assigned to you. Key Skills & Qualifications Recently concluded / Currently enrolled in a Bachelor’s/Master’s in Geospatial Engineering/ Geospatial Science/Geomatics/Data Science/CS (3rd/4th year preferred) with concurrence of your educational establishment. Experience with QGIS/ArcGIS , Inaging software and core geospatial analysis. Working knowledge of Python (pandas/numpy); R is a plus. Exposure to GEE and geospatial libs ( geopandas/rasterio/GDAL ) preferred. Basic understanding of digitisation/data labelling/annotation for ML on satellite imagery is a plus. Familiarity with statistical analysis and introductory ML concepts. Strong analytical thinking, problem-solving, and detail orientation. Clear written and verbal communication; ability to collaborate in a fast-moving environment. Fluent in English (Hindi a plus). What we offer A hands-on role in a interdisciplinary team working on real infrastructure and climate-risk problems. Access to inhouse knowledge base. Mentorship and professional development (code reviews, method notes, brown-bag sessions). Remote/Hybrid work & flexible hours (NCR/Remote – India). Potential full-time conversion based on performance and business needs. Location: New Delhi (Hybrid/Remote – India) How to apply: Email your CV and if available 2–3 project links (GitHub/notebooks/apps) with subject “Spatial Logix — GIS Engineer Intern — ” to info@spatiallogix.in Additionally write 4–5 lines on how you would QA a flood-risk map before sharing it with a client.