Senior Product Software Engineer - Machine Learning / AI / Deep Learning

    • Wolters Kluwer
  • Waltham, MA
  • Posted 46 days ago | Updated 5 hours ago

Overview

On Site
USD 112,000.00 - 156,650.00 per year
Full Time

Skills

Large Language Models (LLMs)
Machine Learning (ML)
Deep learning
Decision-making
Information retrieval
Use cases
Generative Artificial Intelligence (AI)
Open source
Computer science
Software development
Solution delivery
Google Cloud
Search engines
Artificial intelligence
Health care
Legal
Taxes
Accounting
Finance
Auditing
Regulatory Compliance
Leadership
Management
Copy editing
Analytics
Creativity
Spectrum
Research
Natural language processing
Collaboration
Data
FOCUS
Python
Pandas
TensorFlow
Keras
PyTorch
LangChain
Training
Cloud computing
Microsoft Azure
Agile
JIRA
Confluence
Git

Job Details

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