Senior NLP Software Engineer I - Java

NLP Software Developer (Java Experience)

Are you a Senior Java Engineer who wants to build a career in AI? Come join us as we embark on building NLP (Natural Language Processing) tools

About us

LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com/ .

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.

Learn more about the LexisNexis Risk team and how we work here

#LI-TL1#LI-REMOTE