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NLP Technical Program Manager/Architect

  • Lead cutting edge development in NLP and machine learning algorithms and techniques 

  • Experience with NLP algorithms, tools and techniques 

  • Up to date with latest developments and technologies in the field 

  • Deep understanding of the problems in chatbots and NLP such as language modeling, intent recognition, and entity extraction and their solutions 

  • Strong programming skills in Java and Python especially in working with Machine Learning and Deep Learning libraries 

  • Ability to quickly develop prototypes, implement complete solutions for real world chatbot NLP problems with quick turnaround time 

  • Vast experience with open source libraries including Stanford Core NLP, NLTK, Spacy and have a good understanding of the underlying algorithms 

  • Experience building NLP deep learning models, deploying them in a production setting and operationalizing them with best practices 

  • Industrial experience with best practices building, deploying and operationalizing deep learning models and working on a chatbot in a commercial product 

  • 3-5 years of experience working on an NLP application 

  • Strong technical background in Java/J2EE 

  • Strong in Oops concepts, multithreading and collection framework 

  • Strong in building RESTful Webservices 

  • Strong Experience in using DL4j building models/word vectors 

  • Strong Experience in using Stanford CoreNLP 

  • Well versed with commonly used Design Patterns - (Singleton, Factory, Adaptor, Strategy) 

  • Exposure to Spring or similar framework, grasp of IOC concepts 

  • Experience with SQL and RDBMS schema design 

  • Experience with build tools - Maven, Jenkins 

  • Experience working with Linux/Unix servers 

  • Strong communication skills and good team player Real NLP projects out of school Be able to speak about problems while building How do we use NLP solutions that work for general everyday needs and make them understand Banking (Finance) and Wells (Client) language, departments, acronyms etc. 

  • This is through use of ontologies and embedding layers. 3+ years of Work

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