The ideal candidate will be responsible for real world Data Science problems, including but not limited to:
Data planning/collections, annotation strategies and developing the state-of-the-art deep learning algorithms in the field of both computer vision/NLP to operate
on large data sets that provides robust situational assessment and predictive capabilities.
Perform prototype implementation of the algorithms developed, solid engineering and classical CS knowledge is the key to success for this position.
Share knowledge by clearly articulating ideas through papers and presentations to technical staff, management.
Basic CS background (Algorithms/Data Structure) is absolutely essential, Engineering skill needs to be solid and will be tested.
Heavy exposure computer vision/Open CV
Good understanding of scikit-learn
Must be professional level in Python and C++/C.
Fluency in Pytorch or Tensorflow/Keras, skills will be assessed
Master/Ph.D in the field of Computer Science, Computer Engineering, Electrical Engineering, Mathematics or related field
How to apply: Online