Bachelor’s or advanced degree in computer science or engineering/technology related degree or data-intensive programs such as applied mathematics, economics, physics or statistics
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Data Scientist (great at Computer Vision and regular AI/ML (tabular data)
- Professional experience as ML Engineer/Data Scientist: Experience can be in machine learning, deep learning, data modelling, optimization algorithms, network analysis, in professional and production settings for multiple projects.
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Professional experience of using either PyTorch, Tensorflow, or Keras.
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Strong proficiency in wrangling datasets through Pandas, Dask or other Python based data science libraries.
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Strong fundamentals in solving analytical problems with various algorithmic solutions.
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Demonstrable experience in end-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
Good to have:
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Relevant field experience in the development sector via non- profits or at various levels of Indian governance is a plus.
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Knowledge of GIS (GeoPandas, Shapely, PyQGIS, Arcpy) is a plus.
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Working knowledge of SQL is a strong plus
