- Red Hat (Raleigh, NC)
- …of RHEL AI and OpenShift AI. The PyTorch team is looking for a Software Engineer to contribute to PyTorch upstream and PyTorch integration into the RHEL AI and ... OpenShift AI products. **What You Will Do - (Key Responsibilities)** + Contribute to the PyTorch upstream community + Contribute to the integration of PyTorch into the RHEL AI and OpenShift AI products + Work closely with teams within AI Engineering, where… more
- Teleflex (Morrisville, NC)
- Principal Engineer , Software Development **Date:** Apr 6, 2025 **Location:** Morrisville, NC, US **Company:** Teleflex **Expected Travel** : Up to 10% ... Teleflex, we are committed to empowering the future of healthcare. As a Principal Engineer specializing in Software, you will lead technological innovations in… more
- Red Hat (Raleigh, NC)
- **About the Job** The Red Hat Quay Engineering team is looking for a Principal Engineer to help drive the overall development and delivery of Red Hat Quay. In ... and standards, including OCI. - Experience and knowledge of AI and machine learning technologies. - Extensive experience deploying and running applications… more
- Red Hat (Raleigh, NC)
- …to scale SOTA deep learning products and software. As an ML Ops engineer , you will work closely with our technical and research teams to manage training and ... LLM deployments. We are seeking an experienced ML Ops engineer to work closely with our product and research...solving challenging technical problems at the forefront of deep learning , this is the role for you! In this… more
- EBSCO Information Services (Raleigh, NC)
- …information specialist who relishes solving novel problems in the areas of machine learning , generative AI, natural language processing, information extraction, ... **What You'll Do** + Develop tools and strategies leveraging text analytics, machine learning , generative AI, and metadata enrichment pipelines + Analyze… more
- Teleflex (Morrisville, NC)
- …large or high-dimensional data in clinical studies, applying advanced statistics and machine learning , conducting post-hoc analyses, reusing historical data and ... solutions. * Design and implement advanced data mining, statistical modelling, and machine learning techniques to analyse complex and heterogeneous RWD datasets.… more