Anomaly Detection Jobs in Pittsburgh, PA
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Quantitative Analytics & Model Consultant
Pnc Bank
Position OverviewAt PNC our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected va...
Lead Sredevops Engineer
Synechron
We areAt Synechron we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechrons progressive technologies and optimization strategies span end-to-end Artifi...
Ai Integrations Backend Engineer
Pear Vc
Wood Wide AI is a Carnegie Mellon spin-out pioneering a neuro-symbolic intelligence layer for enterprise numeric and tabular data. Our platform transforms raw numeric signals into rich embeddings for prediction anomaly detection and reasoning enabling organizations to move beyond brittle ML pipeline...
Detection & Investigation Analyst Lead Fd&r Wed- S...
Pnc Bank
Position OverviewAt PNC our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected va...
Lead Ai Architect
Hdj & Associates, Inc.
This is a remote position. THIS IS A FULLY REMOTE POSITION - CANDIDATE MUST BE LOCATED IN THE U.S. (Visa sponsorship NOT available). This position will architect and evolve our clients decision and action engine that detects churn optimizes pricing predicts demand and automates retention campaig...
Post Doc Fellow Foundation Models For Anomaly Dete...
Carnegie Mellon University
Post Doc Fellow position on foundation models for anomaly detection:Starting March 1 2026:For a 1-year funded project on developing foundation models for anomaly detection; with a focus on studying generalization to real-world tasks; including but not limited to designing pretraining datasets studyi...