• Working with large geospatial datasets on computer vision techniques like image classification, object detection, instance segmentation and semantic segmentation.

• Handling points cloud datasets for performing spatial analytics to isolate and annotate or classify desired spatial requirement through any programming language.

• Working with ArcGIS Pro notebooks, Jupiter notebooks and Colab, for processing satellite imagery and aerial imagery to produce spatial analytics.

• working experience with live or recorded video feeds to extract spatial information using machine learning models.

• Building and maintaining custom machine learning models and applications for geospatial datasets using machine learning frameworks, such as TensorFlow, Pytorch etc.

• Must be adaptive to latest and trending technologies in Geospatial community for spatial analytics.

• Must have a passion for designing and developing custom solutions through innovative approaches.





• Experience in hosting GeoAI based solutions on the cloud platforms.

• Create, modify and maintain custom scripts and routines for GIS process automation and applications.

• Ability to understand and build custom geospatial machine learning models based on the business requirements.

• Positive to have experience in building REST APIs for GeoAI models.

Mandatory Skills-

• Open Source: QGIS, QGIS python conosle, PyQt, GDAL, OGR, GeoPandas, shapely, GeoDjango.

• PROGRAMMING LANGUAGES: Python, JavaScript and R.

• Machine learning frameworks: Tensorflow, Tensorflow for Js, Tensorflow mobile, Pytorch, Sci-kit learn.

• DATABASES: PostGIS, PostgreSQL, Microsoft SQL Server, SQLite.

• API Frameworks: Django, Django Rest Framewok, Flask, C#.Net Web API.

• ESRI Suite: ArcPy , ArcMap 10.x, ArcCatalog, ArcGIS Pro 3.0

📌 GEOAI Developer (Bengaluru)
🏢 Talpro INdia
📍 Bengaluru