IT@JH Research Computing is seeking a HPC Scientific Software Engineer to support faculty, researchers, and students engaged in high-performance and AI-driven research across Johns Hopkins University. The position is responsible for deploying, optimizing, and maintaining scientific
IT@JH Research Computing is seeking a Sr. HPC Systems Engineer who will design, build, and maintain advanced high-performance computing environments supporting Johns Hopkins University’s research mission. This position focuses on the reliable operation, configuration, and optimization
The Johns Hopkins Data Science and AI Institute (DSAI) is a pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space.
At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment
Type of Requisition:Regular Clearance Level Must Currently Possess:None Clearance Level Must Be Able to Obtain:None Public Trust/Other Required:NACI (T1) Job Family:IT Infrastructure and Operations Job Qualifications: Skills:Cloud Infrastructure Services, Cloud Security, Linux System Administration, Windows System Administration
Type of Requisition:Regular Clearance Level Must Currently Possess:None Clearance Level Must Be Able to Obtain:None Public Trust/Other Required:BI Full 6C (T4) Job Family:Technical Solutions Job Qualifications: Skills:Artificial Intelligence (AI), Machine Learning (ML), Solution Architecture Certifications:None Experience:10 +
Description Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side