Lead NLP Engineer
November 10
Description
• Transforming natural language data into useful features using NLP techniques • Develop efficient self-learning NLP Search • Design NLP search algorithms & proof of concepts • Select appropriate annotated datasets for Supervised Learning methods • Use effective text representations to transform natural language into useful features • Find and implement the right algorithms and tools for NLP tasks • Develop NLP systems according to requirements • Train the developed model and run evaluation experiments • Perform statistical analysis of results and refine models • Extend ML libraries and frameworks to apply in NLP tasks • Study and transform data science prototypes
Requirements
• BS/MS in Computer Science, Mathematics, Computational Linguistics or similar field • 7+ years in elastic search • 2+ years of proven experience as an NLP Engineer • NLP techniques for text representation, semantic extraction techniques, data structures and modeling • Ability to effectively design software architecture • Deep understanding of text representation techniques (such as n-grams, a bag of words, sentiment analysis etc), statistics and classification algorithms • Knowledge of Python, Java and R (good to have) • Ability to write robust and testable code • Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) • An analytical mind with problem-solving abilities
Benefits
• Group Health Insurance
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