What are the responsibilities and job description for the Senior Software Engineer - Java Spring position at LexisNexis Risk Solutions Healthcare?
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
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:
Benefits
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:
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
- 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
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.
Benefits
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
