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Bachelor or master’s degree in statistics, econometrics, computer science, electrical or computer engineering, computational linguistics, or a related field
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Minimum of 3 years hands-on-experience developing and deploying ML or DL models and developing applications using AI and NLP in a professional industrial setting
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Demonstrated ability to design, implement, and evaluate information extraction models (NEL, key phrase extraction, relation extraction)
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Experience working with and processing large text data sets or doing large-scale quantitative analysis
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Proficiency in Python and experience with common ML frameworks and tools, libraries, data structures, and data modeling
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Ability to write robust, production-ready code and familiarity with software engineering and architecture best practices
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Up-to-date with state-of-the-art NLP breakthroughs, models, and architectures
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A proactive, self-motivated, and flexible approach with the ability to work in a fast-paced startup environment
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Strong communication skills and ability to work with multiple stakeholders
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Excellent interpersonal skills and ability to work independently as well as within your team