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Job Title: Data Engineer / Google Cloud Platform Developer (AI/ML Focus) Location: Greater Washington, DC Area (On-site 3 days per week) Position Type: Full-time Experience Level: 2-5 years Job Description: We are seeking a talented and dynamic Data Engineer / Google Cloud Platform (GCP) Developer to join our team, focusing on software development and AI/ML (Artificial Intelligence / Machine Learning) capabilities.
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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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15 years of relevant experience, ideally in data science/analytics, programming, software engineering, control, audit, or risk roles and/or public accounting, with an emphasis in machine learning.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
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The ideal candidate will have previously served as a business development manager and/or capture manager with proven experience supporting DoD customers. DescriptionThe Engineering, Integration, and Operations Business Area of the Leidos National Security Sector is seeking an energetic Senior Business Development Manager to lead US Navy Business Development (BD.
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The Center isseeking to hire Fellows or Senior Fellows, depending on career level and experience, in both Washington and London tolead one or more areas ofresearch including but not limited to global health, sustainable development finance, education and sustainable agriculture.
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Solid background in machine learning, deep learning, statistical analysis, and software development. Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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The Development Strategist is responsible for working with the Deputy Director and Director to sustain and increase support from existing general support funders and solicit new cross-cutting revenue through the research, cultivation, and solicitation of new funders as well as leaning into rising programmatic opportunities.
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We seek to advance racial equity and dismantle the enduring legacy of systemic racism in housing and community development both through and within the work we do. Experience conducting climate risk assessments; climate resilience planning; and climate mitigation, resilience, and/or adaptation strategies, especially as they relate to housing and community development and/or land use and zoning.
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Proven experience working within a nonprofit development team, including directly managing an institutional giving portfolio which includes multiple six- seven and eight-figure gifts. Working with the Development Coordinator to conduct thorough prospect research and relationship mapping to help identify paths to connect with new prospective partners.
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Scientist will join the Gene Delivery and Editing Process Development (GDEPD) organization supporting analytical development for production and characterization of lipid nanoparticles (LNPs) and process related residuals, which are critical to generating groundbreaking cell therapies.
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The Associate Director of Development will work closely with prospect research and development/alumni relations colleagues in identifying, cultivating, and tracking major gift prospects.
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10+ years experiences in ABAP development of custom reports (ALV, Classic), custom transactions, custom interface via ABAP Proxies, IDoc/ALE, and extensions using BADI's, enhancements, user-exits, etc.
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5+ years doing development in a Unisys mainframe environment. Experience working in a water fall development environment. The ideal candidate has experience modifying and maintaining a Unisys COBOL based system and experience dealing with legacy style online and batch applications, systems, and data storage.
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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming’s suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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