Wolters Kluwer • Washington, DC 20080
Job #2689827655
Wolters Kluwer is a global leader in professional information services. Professionals in healthcare, legal, business, tax, accounting, finance, audit, risk and compliance rely on Wolters Kluwer's market-leading information-enabled tools and software solutions to manage their business efficiently and deliver results to their clients and succeed in an ever more dynamic world. Wolters Kluwer combines deep domain knowledge with specialized technology. Our portfolio offers software tools coupled with content and services that customers need to make decisions with confidence. Every day, our customers make critical decisions to help save lives, improve how we do business, and build better judicial and regulatory systems. We help them get it right.
Under the Wolters Kluwer Health umbrella, Clinical Effectiveness ("CE") is a leader providing evidence-based solutions that drive clinical decision-making and outcome across healthcare. The solutions CE offers include UpToDate, Lexicomp, Medi-Span and Emmi. The Information Retrieval and Analytics team provides the search capabilities for several applications that are part of CE. You will be a member of a very active and creative team responsible for designing, implementing, monitoring and maintaining next generation search capabilities including a rich and predictive search experience to broad spectrum of use cases.
Responsibilities
Work with team members and other teams to define an optimal search experience
Research and experiment to develop a more intelligent search for medical text
Prototype enhancements and new features that address the needs of our users by improving their search experience in allowing them to get their answer faster
Keep up with latest technology development in Generative AI, Machine Learning, NLP and search in general
Innovate and develop proofs of concept to demonstrate the applicability of AI for solving customer problems in collaboration with product and other development teams
Leverage open-source or proprietary large language models (LLMs) and following responsible AI principles
Integrate solutions into the product, making them production ready, scalable and performant whilst adhering to company and industry standards and principles
Devise ways to measure quality, reproducibility and performance
Participate in research initiatives that cross search and analytics
Collaborate effectively with product managers, clinicians, data scientists, and software engineers
A self-starter who can align the technology solution with a business goal
Qualifications
Graduate degree (MS or PhD) in Computer Science or relevant field with a focus on NLP or Machine Learning
5+ years of industry software development experience
2+ years of industry experience in supporting the development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning
Strong hands-on expertise in Python and open-source libraries/frameworks/tools such as pandas, spaCy, anaconda, etc.
Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, Transformers
Excellent knowledge of Gen AI methodology for NLP such as retrieval augmented generation and frameworks such as langchain
Knowledge of visual question and answering is a plus
Experience in applying deep learning to NLP
Experience with designing, building, and optimizing data and model training pipelines
Experience with cloud-based platforms for solution delivery, such as Azure, Google cloud technologies
Domain knowledge with medical text is big plus
Familiarity with web search engine development is a big plus
Experience working with agile and Software Development Lifecycle tools (e.g., JIRA, Confluence, Git)
Demonstrate strong collaborative skills within function and across peer stakeholders
Compensation:
Target salary range CA, CT, CO, HI, NY, WA: $112,000-$156,650
EQUAL EMPLOYMENT OPPORTUNITY Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
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