GIS Engineer Intern

About the job

Spatial Logix

Drishtikon™

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:

How to apply:

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