Bachelor's degree or equivalent practical experience.
8 years of experience with software development in either the (Python or C++) programming languages.
5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.
Experience in Data Quality Engineering, including the design, implementation, and monitoring of data quality processes and systems.
Preferred qualifications:
Master's degree or PhD in Computer Science, Statistics, Mathematics, or a related technical field.
Experience in working with Machine Learning (ML)/Generative Artificial Intelligence (GenAI) infrastructure.
Experience designing and deploying systems and processes to effectively measure, report on, and improve data quality.
Experience excelling in dynamic, ambiguous environments through exceptional collaboration and communication, including building consensus across teams and articulating complex technical concepts.
Familiarity with ML production tools and lifecycle.