Senior Software Engineer - Java Spring

Posted 3 Days Ago
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2 Locations
Senior level
Artificial Intelligence • Healthtech • Information Technology • Other • Analytics
The Role
The role involves leading the design and implementation of NLP systems using Java and Spring Boot, developing NLP algorithms, maintaining NLP frameworks, and driving innovation by proposing new solutions for NLP challenges.
Summary Generated by Built In

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

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.

About the team:

This diverse, collaborative team of developers is tasked with building AI driven Data Solutions within our core Risk product suite.

Requirements:

  • Possess current and extensive utilization of Java-Spring Boot.  
  • Have the ability to develop efficient algorithms and pipelines for preprocessing, parsing, and analyzing large volumes of text data.
  • Able to Evaluate the performance of NLP models and algorithms using appropriate evaluation metrics.
  • Knowledge in algorithms to find and implement tools for NLP tasks
  • Knowledge of NLP libraries and frameworks
  • Able to fine-tune and optimize NLP models for accuracy, efficiency, and scalability in production environments
  • Able to stay abreast of the latest advancements in NLP research, methodologies, and tool
  • Have the ability to drive innovation by proposing and implementing novel approaches to address complex NLP challenges
  • Strong communication skills

Responsibilities:

  • Leading the design, development, and implementation of NLP algorithms and models using Java-based technologies.
  • Leveraging machine learning and deep learning techniques to extract insights and derive meaning from unstructured text data
  • Developing NLP systems according to requirements
  • Maintaining NLP libraries and frameworks
  • Designing and develop natural language processing systems
  • Define appropriate datasets for language learning
  • Using effective text representations to transform natural language into useful features
  • Training the developed model and run evaluation experiments
  • Finding  and implement the right algorithms and tools for NLP tasks
  • Performing 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.

Learn more about the LexisNexis Risk team and how we work here

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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.

Top Skills

Java
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The Company
0 Employees
On-site Workplace
Year Founded: 1880

What We Do

Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care.

Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems.

Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.

We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.

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