Senior Product Software Engineer - Machine Learning / Generative AI

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

• 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 GenAI 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 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: $108,700-$152,050