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The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on projects in a wide range of research domains.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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TDD, CI/CD, Distributed Computing, Linux Stack, MLOps, Machine Learning Operations, HPC, High Performance Computing, AWS, GCP, Cloud, Trading, Financial, Remote, Work From Home, Chicago Recruiters, Information Technology Jobs, IT Jobs, Chicago RecruitingLooking to hire for similar positions in Chicago, IL or in other cities.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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CoreWeave builds cloud solutions for compute intensive use cases — VFX and rendering, machine learning and AI, batch processing, and Pixel Streaming — that are up to 35 times faster and 80% less expensive than the large, generalized public clouds.
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The Civic Engagement Coordinator facilitates Catalyst Courses which provide robust experiential learning opportunities throughout the semester. Reporting to the Director for Civic Engagement, the Civic Engagement Coordinator works collaboratively with student employees and volunteers to coordinate and implement experiential learning sessions that impact student learning and align with civic engagement student learning outcomes.
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Basic knowledge of digital manufacturing technologies such as digital twin, artificial intelligence, and machine learning, as well as cybersecurity guidelines and frameworks, including NIST and CIS.
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6+ years of experience in machine learning, deep learning, and natural language processing. Build high-performance, cloud-native machine learning infrastructure and services to enable rapid innovation across United.
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5+ years of experience programming Programmable Logic Controllers (PLC), and Human/Machine Interfaces (HMI) using Allen Bradley or Siemens software. ATS Automation Global Services is seeking an ambitious Field Service Representative who enjoys traveling, new experiences, and learning opportunities.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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You’ll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
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Contributions to open-source projects related to data science and machine learning. This role would offer the opportunity to have significant impact across Machine Learning infrastructure, training, and inference challenges to advance our futures trading strategies.
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Cloud Computing – Use the full range of Microsoft Azure Services with exposure to machine learning. Continuous Learning – stay up-to-date with emerging technologies, changes in the banking industry, and regulatory developments.
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Be there for students at Catapult Learning partner schools in the way that works best for you: year-round and/or during summer, full-time or part-time. If you became a teacher to help students learn, grow, and shine there’s a place for you at Catapult Learning.
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machine learning jobs Title: assistant in Chicago, IL
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