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Promote modern approaches in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLMs) within the computational and data ecosystem to advance researcher productivity and scientific discovery.
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Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Take full ownership of significant portions of our data processing products, including collaborating with stakeholders on machine learning models, designing large-scale data processing solutions, creating additional processing facets and mechanisms, and ensuring the support of low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.
$230,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Databricks - cloud-based platform built on Apache Spark that provides a collaborative environment for big data processing and analytics. Optimize data storage, retrieval, and processing using services like Amazon S3, Redshift, Glue, and Athena.
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The Principal Associate of Ontology and Data Modeling will be responsible for partnering with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.
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A key member of the Advancement Services team in Fordham's Office of Development and University Relations (DAUR), the Advancement Services Administrator (Records) coordinates the day-to-day operations of data intake and record maintenance, while also playing a primary role in gift processing activities.
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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This is a highly technical role, requiring familiarity with day-to-day operations and use of eDiscovery technology including data processing tools, hosting platforms (Relativity experience required) and analytics/TAR/Predictive Coding (Relativity or Brainspace strongly preferred.
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This role requires a deep understanding of machine learning, natural language processing (NLP), and big data technologies. Develop and deploy machine learning models to extract insights and patterns from unstructured data.
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Under supervision of the ROC Manager, the Operator will monitor and control computer and peripheral electronic data processing equipment to analyze data and remotely operate wind turbine generators, solar assets, and battery storage assets.
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Proven ability to digest and explain complex ideas to a diverse group of stakeholders; including data visualization/dashboards using tools such as Tableau and Datorama. The ideal candidate can push beyond the obvious answers and quickly use the data, tools, analysis techniques and resource partners to get to the root of story.
$95,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The successful candidates will contribute to the drug discovery effort as well as the development of novel therapeutics across several areas based on a strong interdisciplinary background, as our interests range from genome editing, bioengineering for scalable micro-tissue production, to machine learning approach for the analysis of high content phenotypic screens.
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Minimum of 3 years of experience in machine learning or deep learning engineering or demonstrated proficiency in computer vision such as training of CNN based models, GAN or diffusion based models for data generation, optimizing trained models for deployment and signal processing and traditional computer vision algorithms such as those in OpenCV.
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Utilize Rancher to manage Kubernetes clusters efficiently, optimizing geospatial data processing and application deployment. - Ensure the security and compliance of geospatial applications and data, adhering to industry standards and regulations.
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We have a preference for candidates who have done numerate graduate work, for example in operations research, probability and statistics, signal processing, computer science, machine learning, or other numerate engineering disciplines and hard sciences.
$165,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning data processing jobs Title: analytics in New York, Bentonville, Kansas
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