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.
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