Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative technical field, or equivalent practical experience.
15 years of experience in designing, building, and deploying AI/ML solutions in a production environment, with experience in areas such as predictive analytics, natural language processing, or computer vision.
Experience with enterprise financial processes, systems, and data structures (e.g., ERP, general ledger, financial planning, treasury, accounting principles).
Experience working with cloud platforms, and experience in machine learning services and data ecosystems on Google Cloud Platform (GCP).
Preferred qualifications:
PhD in a relevant AI/ML discipline or a record of research contributions and publications in conferences or journals.
Experience operating as a "customer zero" or actively contributing to the external product development and go-to-market strategies of a technology platform (e.g. GCP).
Expertise in specific AI/ML sub-domains relevant to Finance, such as time-series forecasting, graph neural networks for financial anomaly detection, or reinforcement learning for financial optimization.
Exceptional leadership skills with experience leading highly technical, cross-functional teams, influencing strategic direction, and communicating complex technical concepts to audiences.