Senior NLP Software Engineer I - Java

LexisNexis Risk Solutions Inc. Company
Texas
Remote
Full-time

About the role

We are seeking a talented and experienced Senior NLP Engineer with a minimum of 6 years of industry experience, coupled with proficiency in Java development.

The ideal candidate will possess a deep understanding of Natural Language Processing (NLP) techniques and methodologies, along with a proven track record of successfully implementing NLP solutions in Java-based environments.

If you are passionate about leveraging NLP to tackle real-world challenges and possess strong Java development skills

Requirements

  • Software Engineering experience
  • BS Engineering / Computer Science or equivalent experience required
  • Lead the design, development, and implementation of NLP algorithms and models using Java-based technologies.
  • Leverage machine learning and deep learning techniques to extract insights and derive meaning from unstructured text data
  • Proficient knowledge of Java
  • Develop efficient algorithms and pipelines for preprocessing, parsing, and analyzing large volumes of text data.
  • Evaluate the performance of NLP models and algorithms using appropriate evaluation metrics.
  • Good knowledge in algorithms to find and implement tools for NLP tasks
  • Knowledge on NLP libraries and frameworks
  • Fine-tune and optimize NLP models for accuracy, efficiency, and scalability in production environments
  • Stay abreast of the latest advancements in NLP research, methodologies, and tool
  • Drive innovation by proposing and implementing novel approaches to address complex NLP challenges
  • Strong communication skills

Responsibilities :

  • Develop NLP systems according to requirements
  • Maintain NLP libraries and frameworks
  • Design and develop natural language processing systems
  • Define appropriate datasets for language learning
  • Use effective text representations to transform natural language into useful features
  • Train the developed model and run evaluation experiments
  • Find and implement the right algorithms and tools for NLP tasks
  • Perform statistical analysis of results and refine models
  • Constantly keep up to date within the field of machine learning
  • Implement changes as needed and analyse bugs.

Women in Tech :

LexisNexis Risk is supportive of women in Technology and has been a founding signature for the Tech Talent Charter. We have the following initiatives in place to support women in technology :

Mentoring scheme for women in technology

Women’s network forum and regular run events for schools about careers in technology to inspire the next generation of girls in technology.

30+ days ago
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