ai ml strategy
the LEGO Group hiring Director, Play AI & Data, Play Engineering in London, England, United Kingdom
Are you interested in developing and delivering outstanding software to bring new Play dimensions to LEGO bricks? In this role within Play Engineering, you will be defining and driving AI and ML execution to deliver the next generation of Play inter-activities! Work with business and functions to decrease barriers in AI/ML implementation as concepts move from idea through offering launch. Apply AI/ML algorithms to interpret interactions Work with engineering teams to systematically improve AI/ML pipelines. Coach and foster Data Scientists, Machine Learning Engineers, and Engineering organization on ability to execute and exceed expectations with learning solutions.
Why you should prioritize governance of ML and AI
This is a truly momentous time for machine learning in the enterprise, with investments soaring and a growing number of use cases that can create tangible business value. Organizations are still struggling with important phases of the AI/ML lifecycle. One particular challenge stands out: governance. A lack of robust governance doesn't just limit the potential success of your AI/ML initiative; it could put your entire business in peril as well. That was one of our major findings in Algorithmia's "2021 Enterprise Trends in Machine Learning" report.