Work with client stakeholders to document and understand their objectives and ideate how AIML solutions might achieve those objectives.
Perform exploratory data analysis to understand the data available related to a particular business objective and if that data lends itself to the creation of an AI/ML solution that might achieve that business objective.
Build AI/ML models that attempt to address a business objective given the data available; explore the model space to understand the optimal model for the particular use case and what the performance characteristics are.
Create repeatable, interpretable, and scalable models that can be seamlessly incorporated into analytic data products.
Engineer features by using business acumen to find new ways to combine data sources.
Write production-quality pipeline code used to load data, execute the AI/ML model, and store the results.
Perform analyses of AI/ML models and systems, such as: fairness, bias, and equity audits; performance analyses; impact assessments; and interpretability reports.
Develop and commit Python code in such a way that it works in harmony with the code and systems being developed by the team’s data engineers, software engineers, and data analysts.
Other duties and/or projects as assigned.
Adheres to HMH Organizational competencies and standards of behavior.