Decide where foundation models and LLMs stay in the loop, where dedicated trained heads take over, and where classical computer vision is the right answer.
Ship models into production: train, evaluate, package, deploy, and monitor. Partner with engineering and product to turn AI capability into customer-visible automation.
Hire and mentor the ML engineers who join after you.
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Interfaces with central IT and Facilities stakeholders to ensure the quantum network infrastructure meets University and Midwest Quantum Network Facility strategic goals.
Collaborates with CQE to distill complex technical milestones into actionable narratives for executive leadership and board-level stakeholders.
Collaborates with technical staff at partnering organizations to develop secure quantum networking technologies, including U.S. Department of Energy’s Argonne National Laboratory and Fermi National Accelerator Laboratory, University of Illinois Urbana-Champaign, University of Wisconsin-Madison, Northwestern University, and Purdue University.
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