Description NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise
Description NextSilicon is reimagining high-performance computing. Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. Our new software-defined hardware architecture enables HPC to fulfill its promise
About Our Company We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than
Job Title 100% telecommute Regular day working hours with some flexibility, but must be available for most of Central Time working hours with a heavier focus on availability in the mornings Project Working with customers to
Microsoft Dynamics Senior Consultant, Technical Transformation Our Deloitte Sales & Service team empowers organizations to build deeper relationships with customers through innovative strategies, advanced analytics, Generative AI, transformative technologies, and creative design. We are a team
Data Engineer Richfield, MN 55423 (Local - Hybrid 2 Days/Week) 12+ Months Contract Project Description: You will be part of the Myads reporting team responsible for building the measurement, reporting, and insights platform that powers Ads
Job Description: We are seeking a hands-on DataFlow Platform Engineer to support the development, enhancement, and adoption of the enterprise DataFlow platform. DataFlow serves as the front door into the analytics ecosystem, providing standardized ingestion, transformation, data quality, scheduling,
JD - recommend focusing on candidates with strong experience in Vertex AI-based batch processing pipelines. The candidate should demonstrate a solid understanding of: End-to-end ML pipeline components: o Data preprocessing Batch prediction workflows Post-processing activities Building