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Lead NLP Software Engineer

2 months ago

Madison, Wisconsin, United States LexisNexis Risk Solutions Inc. Company Full time

Position Overview

We are looking for a skilled and seasoned Senior NLP Engineer with at least 6 years of relevant experience, particularly in Java development. The successful candidate will have a comprehensive grasp of Natural Language Processing (NLP) methodologies and a solid history of executing NLP solutions within Java-centric frameworks. If you are enthusiastic about utilizing NLP to solve practical problems and have robust Java programming capabilities, we want to hear from you.

Key Qualifications

  • Proven experience in Software Engineering
  • Bachelor’s degree in Engineering, Computer Science, or a related field
  • Lead the architecture, development, and deployment of NLP algorithms and models using Java technologies.
  • Employ machine learning and deep learning strategies to extract insights from unstructured text data
  • Strong proficiency in Java programming
  • Create efficient algorithms and workflows for processing, parsing, and analyzing extensive text datasets.
  • Assess the performance of NLP models and algorithms using relevant evaluation metrics.
  • Solid understanding of algorithms to identify and implement tools for NLP tasks
  • Familiarity with NLP libraries and frameworks
  • Fine-tune and enhance NLP models for precision, efficiency, and scalability in production settings
  • Stay updated on the latest trends in NLP research, methodologies, and tools
  • Foster innovation by suggesting and applying novel strategies to tackle intricate NLP challenges
  • Excellent communication abilities

Core Responsibilities

  • Develop NLP systems in alignment with project requirements
  • Maintain and enhance NLP libraries and frameworks
  • Design and implement natural language processing systems
  • Identify suitable datasets for language learning
  • Utilize effective text representations to convert natural language into actionable features
  • Train the developed models and conduct evaluation experiments
  • Discover and apply the right algorithms and tools for NLP tasks
  • Conduct statistical analysis of results and refine models accordingly
  • Continuously stay informed about advancements in machine learning
  • Implement necessary changes and troubleshoot issues as they arise.

Commitment to Diversity:

LexisNexis Risk Solutions Inc. is dedicated to fostering an inclusive environment for women in technology. We have established several initiatives to support women in this field:

  • Mentorship programs for women in technology
  • Women’s network forum and regular events aimed at inspiring the next generation of girls in technology.