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Geospatial Data Science Professional

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Shimoga, Karnataka, India beBeeDataScience Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Overview

As a geospatial data science engineer, you will play a key role in conceptualizing and developing innovative solutions using ESRI products. Your primary focus will be on working closely with customers to understand their needs and develop tailored data science solutions that address their business challenges.

This is an exciting opportunity to join a dynamic team and make a meaningful impact in the field of geospatial data science.

Responsibilities
  • Customer Collaboration: Work closely with customers to understand their business needs and develop customized data science solutions.
  • Solution Development: Conceptualize and develop innovative solutions using ESRI products that meet customer requirements.
  • Technical Expertise: Possess expertise in machine learning, deep learning, and other modern data science techniques.
  • Model Development: Develop high-quality analytics systems that solve customer business problems using techniques from data mining, statistics, and machine learning.
  • Integration and Deployment: Integrate ArcGIS with popular deep learning libraries such as PyTorch and deploy models to production in a cloud, on-premises, or hybrid environment.
  • Staying Current: Stay up-to-date with the latest technology trends in machine and deep learning and incorporate them into project delivery.
Requirements
  • Education: Master's degree in RS, GIS, Geoinformatics, or a related field.
  • Skills: Proven data science and AI skills with Python, PyTorch, and Jupyter Notebooks.
  • Experience: 5+ years of practical machine learning experience or applicable academic/lab work.
  • Expertise: Expertise in traditional and deep learning-based computer vision techniques, convolutional neural networks, transformer models, and 3D deep learning with Point Clouds, meshes, or Voxels.
  • Communication: Strong communication skills, including the ability to communicate complex geospatial concepts to diverse audiences.