Team lead

Position : AI-ML Engineer

Experience : 2-5 Years

Location : Pune

This is a high-priority requirement in the Geospatial AI domain , and I need your support in sourcing candidates urgently.

The candidate must have experience in Geospatial AI areas such as remote sensing, GIS analytics, spatial statistics, satellite or aerial imagery analysis, land use / land cover mapping, and change detection.

They should also be comfortable working with raster and vector data processing using tools like QGIS, Arc GIS, Post GIS, GDAL, or OGR.

In addition, we are looking for niche expertise in Point Cloud and 3 D Computer Vision. The must-have skills here are :

Point cloud processing (Li DAR / MLS)

3 D computer vision

3 D deep learning frameworks (Point Net, Point Net++, KPConv, Rand LA-Net, Sparse Conv)

Hands-on experience with Open3 D, PCL, or PDAL , and frameworks such as Py Torch3 D or Tensor Flow 3 D is also essential.

It will be an added advantage if the candidate has worked on panoramic imagery, 3 D object detection, segmentation tasks, SLAM, photogrammetry, or 3 D visualization tools (Potree, Cesium JS, Three.js).

Finally, prior exposure to roadside asset detection (signs, poles, guardrails, lanes) would also be beneficial.