Description :

We are seeking a highly skilled Senior GIS Developer with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), and advanced GIS tool development.

The role involves designing intelligent geospatial systems, building AI-powered spatial analytics solutions, automating GIS workflows, and developing scalable enterprise GIS tools.

The ideal candidate will bridge Geospatial Technologies and AI Engineering to deliver next-generation spatial intelligence solutions.

Key Responsibilities :

AI-Driven GIS Solution Development :

- Design and develop AI/ML models for geospatial data analysis.

- Build spatial prediction models (classification, object detection, segmentation).

- Implement computer vision techniques for Satellite, Aerial images, and LiDAR data.

- Develop deep learning pipelines for geospatial feature extraction.

GIS Tool & Application Development :

- Develop custom GIS tools like Plugins, MDLs, SBM, LISP and automation scripts.

- Build scalable Web GIS applications and APIs.

- Develop geo-processing services and micro service architectures.

- Optimize geospatial algorithms for performance improvement and output scalability.

Technical Leadership :

- Lead AI-GIS innovation initiatives.

- Mentor junior GIS and AI developers.

- Collaborate with Data Scientists, AI Engineers, and Product teams.

- Define technical standards and best practices.

- Document the tool requests and developments.

Educational Qualifications :

Required :

- Bachelors or Masters Degree in engineering discipline such as, GIS / Geo-informatics / Computer Science / Artificial Intelligence / Data Science, Information Technology / Civil / Electrical Electronics / Mechanical

Technical Skills & Software Requirements :

- Core GIS Platforms : ArcGIS Pro / ArcGIS Enterprise, QGIS, MicroStation / SPATIX, AutoCAD

- Programming Languages : Python (NumPy, Pandas, GeoPandas, PyQT), JavaScript, C++, C# / .NET, Visual Basic, React.js

- Geospatial Python Libraries : GDAL, Rasterio, Shapely, ArcPy, PyQGIS

- Spatial Databases : PostgreSQL with PostGIS, MS SQL Server, Oracle Spatial