Data Scientist at Bangalore

Qualification:

  • 4 years of relevant work experience in Deep learning, Machine learning and expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
  • Previous exposure in handling GIS data and large raster files
  • Experience in GCP
  • Strong python programming experience
  • Good to have experience in GDAL and Rasterio
  • Experience in building Computer Vision workflows
  • Previous exposure in deploying production ready ML / DL pipelines using Tensorflow / Pytorch.
  • Applied experience with machine learning on large datasets.

Responsibilities:

  • Implement Computer Vision modules for different problem statements and follow best practises in ML/ DL
  • Work on GIS data and build inferences out of satellite imagery
  • Read state of the art research papers and come up with solutions to apply computer vision / ML in the domain of remote sensing
  • Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of kawa data structures and metrics, advocating for changes where needed for product development.
  • Research and develop analysis, forecasting, and optimization methods to improve the quality of Kawa’s user facing products.

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