Requirements:

• Strong knowledge of Python and general software development skills (source code management, debugging, testing, deployment, etc.).


• Strong understanding of text pre-processing and normalization techniques, such as tokenization, and POS tagging.


• Ability to design NLP pipelines to meet customer requirements


• Familiarity with different approaches for training entity tagging models (e.g. CRF, RNN, CNN, Transformer).


• Experience with asynchronous programming a plus.


• Familiarity with deep learning frameworks such as Tensorflow and Pytorch a plus.


• Familiarity with computer vision deep learning algorithms a plus (CNN, RCNN)