Bachelor's degree; OR 4 years of relevant education and/or experience.
6 years of machine learning engineering, data engineering, or software development experience implementing data solutions to include 2 years demonstrated technical leadership experience and/or leading teams.
Extensive programming experience using Python, Java, or R.
Extensive data engineering experience.
Experience with end to end delivering of machine learning and AI/GenAI solutions that includes building, integrating, and optimizing data pipelines; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications.
Experience completing multiple projects leveraging the agile methodology in implementing ML models.
Experience leveraging ML Ops principles and implementing automated workflows.
Knowledge of Data Science principles and methodologies.
Knowledge of stochastic modeling, machine learning, and other advanced mathematical techniques.
Expert knowledge of at least one cloud platform and relevant components e.g., AWS Sagemaker.
Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).