• 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.
• Good 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
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