GIS Engineer Intern

3 weeks ago

Gurugram, India Spatial Logix Full time

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

  • Additionally write 4–5 lines on how you would QA a flood-risk map before sharing it with a client.

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