GeoAI Engineer

Job Description :

- 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