While ML model development is a challenging process, the management of these models becomes even more complex once they’re in production. Shifting data distributions, upstream pipeline failures, and ...

As an engineering director leading research projects into the application of machine learning (ML) and deep learning (DL) to computational software for electronic design automation (EDA), I believe I ...

Explore the use of data governance in AI/ML systems, understand the challenges and discover the top tools to ensure data accuracy, trust and compliance in AI systems. Data governance plays a pivotal ...

Google is hiring a Senior Staff Software Engineer, AI/ML to design, develop, and deploy AI-driven applications and platforms.