High-Performance Image Analyst

10 hours ago

Bikaner, Rajasthan, India beBeeImageProcessing Full time ₹ 1,20,00,000 - ₹ 1,50,00,000
Job Opportunity

We are seeking a skilled Image Processing Scientist to contribute to the development of high-performance image processing pipelines for satellite optical sensors.

As an Image Processing Scientist, you will work with advanced algorithms to drive real-time analysis and collaborate with a team of experts in the field.

The ideal candidate will have a solid understanding of image processing and computer vision algorithms, as well as proficiency in programming languages like Python.

Key Responsibilities:
  • Develop and optimize algorithms for key image processing stages, including radiometric and geometric correction, atmospheric correction, image enhancement, mosaicking, and orthorectification.
  • Design and implement efficient image processing pipelines for satellite optical sensor data.
  • Apply cutting-edge techniques such as deep learning, object detection, and spectral analysis to extract meaningful insights from optical imagery.
  • Ensure the pipeline is automated, efficient, and scalable to handle high-volume satellite data processing tasks.
  • Work closely with data scientists, software engineers, and GIS specialists to integrate image processing pipelines into broader systems.
Requirements:
  • Bachelor's or Master's degree in Remote Sensing, Geospatial Science, Physics, Electrical Engineering, Computer Science, or a related field.
  • Preferably 2-3 years of industrial experience in satellite/drone image processing focusing on optical sensor data.
Essential Skills:
  • Proficiency in image processing and computer vision algorithms.
  • Strong programming skills in Python, with experience using libraries like OpenCV, GDAL.
  • Understanding of satellite optical sensors and their processing challenges.
Desirable Skills:
  • Experience with machine learning techniques for image analysis.
  • Familiarity with geospatial data formats and tools (e.g., GeoTIFF, QGIS, ArcGIS).

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