Wolters Kluwer

Senior Machine Learning Engineer


Job Description

  • Develop predictive models using supervised and unsupervised machine learning/deep learning
  • Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection
  • Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets
  • Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development teams
  • Collaborate effectively with other teams across DXG and Wolters Kluwer
  • A self-starter who can align the technology solution with a business goal


  • Graduate degree (MS or PhD) in Computer Science, Engineering, Mathematics or equivalent, specializing in machine learning or a related field
  • 3+ years experience in supporting 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 NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, anaconda, transformers, etc.
  • Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch
  • Experience in applying deep learning to NLP
  • Computer vision modeling a plus
  • Experience with designing, building, and optimizing data and model training pipelines
  • Experience in SageMaker or Azure ML Studio a plus
  • Experience with cloud-based platforms (AWS or Azure) for solution delivery
  • Experience working with agile and Software Development Lifecycle tools (e.g. JIRA, Confluence, Git) and Test-Driven Development (TDD)

Key Skills

deep learning; Data analysis; Machine learning; Agile; Healthcare; Open source; Forecasting; Auditing; Python

About Company

Compliance Solutions, a market leader and trusted provider of regulatory compliance solutions and services to more than 10,000 U.S. banks and credit unions. The business helps these financial institutions efficiently manage compliance obligations tied to loan and deposit origination transactions and workflows, and gain the insights needed to focus on better serving their customers and growing their business.Finance, Risk and Regulatory Reporting, providing integrated regulatory compliance and reporting solutions, supporting regulated financial institutions in meeting their obligations to external regulators and their own boards of directors.Compliance Program Management offers solutions that enable chief compliance officers at banks, securities, and insurance companies to stay on top of compliance with a myriad of financial and non-financial regulations.Insurance Compliance provides the industrys most trusted and relied upon point solutions to solve specific problems, manage the insurance compliance process and a common platform to monitor and report on compliance risks as either a standalone solution or as part of a larger view of enterprise risk management initiative.Tax Reporting solutions that enable accuracy and efficiency in corporate actions taxability management, cost basis reporting and mutual and hedge fund tax reporting.

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