This is a full time employee role and we are unable to transfer H1bs at this time for this role.
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:
Current and extensive Software Engineering experience in Java Spring
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:
Full project life cycle development of Java Spring applications.
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
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.