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Responsible for assisting with all operational tasks within the store as delegated and assigned by the Store Manager with main focus on the front-end and sales floor operations. We offer generous benefits, flexible work schedules and the ability to work today and get paid tomorrow.
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Cloud Architecture Expert - on how to design the data - part of the Mosaic Project, Manage and Store Data. Reliable, punctual attendance is an essential function of the position. Data management across multiple data systems: data governance, data mastering, meta-data management, data definitions, symantec-layer design, data taxonomies and ontologies.
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314 Main Street (21020), United States of America, Cambridge, MassachusettsSenior Lead Engineer - Generative AI Product EngineeringOur mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good.
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Center 1 (19052), United States of America, McLean, VirginiaLead Generative AI Infrastructure Engineer (Remote Eligible)Our mission at Capital One is to create trustworthy, reliable and human-in-the-loop AI systems, changing banking for good.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.
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MEDICATION – Under the supervision or direction of a Radiologist, safely and properly retrieve, handle, store, and waste select medications for use during the setup, performance, and cleanup of radiology procedures.
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Co-Develops the in-store shopper experience plan in conjunction with the cross functional team. Co-Develops the in-store shopper experience plan in conjunction with the cross functional team.
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2-4 years as a Store Manager, General Manager, or Assistant General Manager of a highly complex business. Some examples include designer handbags, NFL tickets, all-inclusive vacations, and many more.
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Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, Graph Machine Learning, or recommendation systems serving millions of users. We are looking for an experienced Sr. Lead Engineer to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale.
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At least 8 years of experience programming with Python, Go, Scala, or Java. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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WH Smith North America , incorporating Marshall Retail Group (MRG) and InMotion, represents over half of the Company’s international store estate, with a collection of attractive, successful specialty retail stores located in airports and resorts across North America.
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Position does require travel between hospitals in Albuquerque, Rio Rancho, and Santa Fe. Must have reliable transportation. All duties and responsibilities are expected to be performed in accordance with Fresenius Kidney Care, policy, procedures, standards of nursing practice, applicable contractual service agreements, state and federal regulations.
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We are looking for a Store Manager who will be the ultimate leader and brand ambassador within their community. Coach and always inspire store staff to deliver an elevated client experience.
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You will work as part of our Enterprise AI team and build systems that will enable our users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure.
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