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 create clinical decision-making and outcome across healthcare. The solutions CE offers include Up To Date, 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.
You will report to the Director, Technology Product Management Responsibilities Develop predictive models using supervised and unsupervised machine learning/deep learning, Build models for health products using natural language understanding, conversational AI, generative AI, large language models, forecasting, and anomaly detection Develop Gen AI applications,
applying open-source or proprietary large language models (LLMs) and following responsible AI principles Deploy reproducible models that help customers across health segments Develop proofs of concept to demonstrate the applicability of AI/ML for solving customer problems in collaboration with product and other development teams Integrate ML solutions into the product, making them production ready, scalable and performant Collaborate with product managers, clinicians, data scientists, and software engineers Who can align the technology solution with a business goal Qualifications Graduate degree (MS or Ph D) in Computer Science or relevant field with a focus on NLP or Machine Learning7+ years of industry software development experience5+ years of industry experience in supporting the development of production-ready solutions applying AI technologies: NLP, Deep Learning, Machine Learning Hands-on expertise in Python and open-source libraries/frameworks/tools such as pandas, spa Cy, anaconda, etc.
Experience with deep learning frameworks such as Tensor Flow, Keras, Py Torch, or Transformerinteractioncellent knowledge of Gen AI methodology for NLP such as retrieval augmented generation and frameworks such as langchain Experience applying deep learning to NLPExperience with designing, building data and model training pipelineinteractionperience with cloud-based platforms for solution delivery, such as Azure, Google cloud technologies Domain knowledge with medical text is a big plus Familiarity with web search engine development is a big pluinteractionperience working with agile and Software Development Lifecycle tools (e.
g. JIRA, Confluence, Git)Demonstrate collaborative skills within function and across peer partners Benefits: A comprehensive benefits package that begins your first day of employment. Additional Information: Wolters Kluwer offers great benefits and programs to help meet your needs and balance your work and personal life, including Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave.
Full details of our benefits are available - /index. html Diversity Matters Wolters Kluwer strives for an inclusive company culture in which we attract, develop, and retain diverse talent to achieve our strategy. As a global company, having a diverse workforce is of the utmost importance. We've been recognized by employees as a European Diversity Leader in the Financial Times, as one of Forbes America's Best Employers for Diversity in 2022, 2021 and 2020 and as one of Forbes America's Best Employers for Women in 2021, 2020, 2019 and 2018.
In 2020, we placed third in the Female Board Index, and were recognized by the European Women on Boards Gender Diversity Index. Wolters Kluwer and all of our subsidiaries, divisions and customer/departments is an Equal Opportunity / Affirmative Action employer. #LI-remote PDN-9be8-a946-a9d631a412c0
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 Up To Date, 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 Develop predictive models using supervised and unsupervised machine learning/deep learning, Build models for health products using natural language understanding, conversational AI, generative AI, large language models, forecasting, and anomaly detection Develop Gen AI applications, leveraging open-source or proprietary large
language models (LLMs) and following responsible AI principles Deploy robust and reproducible models that impact customers across health segments Innovate and develop proofs of concept to demonstrate the applicability of AI/ML for solving customer problems in collaboration with product and other development teams Integrate ML solutions into the product, making them production ready, scalable and performant 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 Ph D) 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, spa Cy, anaconda, etc.
Experience with deep learning frameworks such as Tensor Flow, Keras, Py Torch, 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: $108,700-$152,050PDN-9b064381-8b71-49c1-871f-5f422c54d460
