LexisNexis Risk Solutions
Senior NLP Software Engineer I - Java
LexisNexis Risk Solutions, Topeka, Kansas, United States,
Senior NLP Software Engineer I - JavaNLP 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.
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.
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 tools.
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 analyze 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.
At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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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.
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.
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 tools.
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 analyze 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.
At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
#J-18808-Ljbffr