Hands-on experience in NLP, Machine Learning (Client) and Deep Learning (DL)
Identify, retrieve, manipulate, relate and/or exploit multiple structured data and unstructured data sets from various sources, including building or generating new data sets as appropriate
Should be hands on with text classification, document similarity, information retrieval (using Client and DL)
Must have built production ready systems for data science
Must have experience in creating and hosting scalable Restful APIs using python
Interpret and evaluate the results of data science models and/or algorithms, understanding the meaning, limitation and scope of the results,
A good understanding of NLP- Client-DL and the ability to build models quickly using the appropriate framework
Understanding the right evaluation metrics for the NLP problems
Ability to scale the DL/Client Models for the production
Ability to containerize the Client models
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