Senior NLP Software Engineer I - Java

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.