Job Description:

The Machine Learning Engineer is responsible for designing and supporting machine learning systems within the Revionics’ analytical pricing software.

You will be responsible for developing an expert-level understanding of the core scientific capabilities of Revionics’ solutions and building production grade machine learning systems to augment these solutions.

The Machine Learning Engineer must also be able to explain advanced machine learning concepts to multiple teams across the business.

Responsibilities:

• Apply knowledge of machine learning, programming, and data modeling to build productions systems that will train, test, and predict
• Use a flexible, analytical approach to design, develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction
• Generate and test hypotheses and analyze and interpret the results of product environment
• Create and implement mathematical models and scientific algorithms including the development of robust, rapid, and efficient numerical algorithms
• Work with machine learning scientists to translate prototypes into new products, services and features
• Provide guidelines for large-scale implementation
• Knowledge transfer throughout the organization, internal presentations, and white papers establishing thought leadership and capability excellence in the Revionics platform
• Coordinate and conduct testing and analysis of solutions across customer data sets