Job Summary
The position will focus on exploring research in the areas of image processing and computer vision with the aim of building automated machine vision systems in a range of application areas from satellite scene analysis to autonomous drones. The ideal candidate should have extensive software skills to build and research machine learning systems.
Responsibilities
  • Responsible for developing and maintaining critical data infrastructures to support machine learning processes and expand data science platform and tools.
  • Responsible for selecting and integrating tools and frameworks required to provide requested capabilities such as Tensorflow.
Requirements
  • Skills or 2+ years of software development in Python, tools and common design patterns
  • 1+ years of machine learning using deep neural networks. Strong Experience in one of TensorFlow, MXNet, Theano, Caffe and other open source frameworks. Experience on associated libraries: Keras, scikitlearn, etc
  • 1+ years of computer vision. Develop, test, and deploy machine learning / computer vision algorithms for object detection, segmentation, classification, and analytics from satellite imagery. OpenCV experience a plus
  • 2+ years of experience applying machine learning to real-world problems
  • Database management and data warehousing experience
  • Strong experience with Linux
Will be a plus
  • Experience with cloud computing platforms (AWS / Google Cloud), experience with APIs, experience with big data management a plus
  • Familiarity with 2D/3D Multiview geometry and object tracking a plus
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