Elsevier
Senior NLP Software Engineer I - Java
Elsevier, Tate, Georgia, United States, 30177
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 experienceBS Engineering/Computer Science or equivalent experience requiredLead 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 dataProficient knowledge of JavaDevelop 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 tasksKnowledge on NLP libraries and frameworksFine-tune and optimize NLP models for accuracy, efficiency, and scalability in production environmentsStay abreast of the latest advancements in NLP research, methodologies, and toolDrive innovation by proposing and implementing novel approaches to address complex NLP challengesStrong communication skillsResponsibilities:
Develop NLP systems according to requirementsMaintain NLP libraries and frameworksDesign and develop natural language processing systemsDefine appropriate datasets for language learningUse effective text representations to transform natural language into useful featuresTrain the developed model and run evaluation experimentsFind and implement the right algorithms and tools for NLP tasksPerform statistical analysis of results and refine modelsConstantly keep up to date within the field of machine learningImplement 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
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 would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
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. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.
Please read our Candidate Privacy Policy.
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 experienceBS Engineering/Computer Science or equivalent experience requiredLead 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 dataProficient knowledge of JavaDevelop 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 tasksKnowledge on NLP libraries and frameworksFine-tune and optimize NLP models for accuracy, efficiency, and scalability in production environmentsStay abreast of the latest advancements in NLP research, methodologies, and toolDrive innovation by proposing and implementing novel approaches to address complex NLP challengesStrong communication skillsResponsibilities:
Develop NLP systems according to requirementsMaintain NLP libraries and frameworksDesign and develop natural language processing systemsDefine appropriate datasets for language learningUse effective text representations to transform natural language into useful featuresTrain the developed model and run evaluation experimentsFind and implement the right algorithms and tools for NLP tasksPerform statistical analysis of results and refine modelsConstantly keep up to date within the field of machine learningImplement 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
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 would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
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. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.
Please read our Candidate Privacy Policy.