AI/ML Job: NLP Data Scientist
NLP Data Scientist at Aisera
🇺🇸 United States › California › Palo Alto (Posted Jan 13 2021)
Job description
AI / ML Data Science · Palo Alto, California
There are many examples of disruption in the consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AISM solution for IT, HR, Customer Service, Facilities, and IT/Cloud Operations. With AISERA, organizations can provide a personalized and proactive experience for users by automating the resolution of tasks and actions.
The ideal candidate will have experience in several of the following areas:
Experience in designing and developing software and algorithms for natural language processing and conversational AI.
Experience Development and implementation of novel methods for data extraction from free text data, including named entity recognition, relation extraction, part of speech tagging, etc.
Experience coding and debugging deep learning neural networks for text processing in PyTorch, Keras and/or TensorFlow using Python
Experience in building large-scale NLP systems from researching a prototype to production
Experience in Development and implementation of methods for topic modeling, document clustering and text summarization.
Experience with the key open source software resources in these domains.
Strong communication and writing skills in English are essential.
The ideal candidate will have a proven track record of scientific publication in the fields of machine learning, deep learning, and/or natural language processing.
Must be eligible to work in the U.S.
Education / Experience:
2 - 4 years Experience with a Masters or PhD in Computer Science, Natural Language Processing, Computational Linguistics, Statistics, Mathematics or related discipline.
Instructions how to apply
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