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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning.
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AWS Graviton powered instances provide the best price performance and support a wide range of computing workloads including application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches.
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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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Familiarity with working in cloud-based environments like Amazon Web Services (AWS), Google Cloud, or Microsoft Azure and their machine learning tools. We define, architect, design and prototype creative ways to integrate and fuse all-source intelligence and new sources of data to empower analysts and inform the programmatic and technical direction of new and existing programs.
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Familiarity with regional efforts on “big data” analytics, artificial intelligence, and machine-learning. Familiarity with regional efforts on “big data” analytics, artificial intelligence, and machine-learning.
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Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
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Are you an accomplished Machine Learning Engineer with a passion for developing cutting-edge MLOps platform for analytics, artificial intelligence, and machine learning solutions.
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We integrate off the shelf and new development efforts to sustain and enhance the NMEC architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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ALQIMI has developed AOSEN TM- an AI-enabled big data platform, complete end-to-end, systems-of-systems capable of open-source data collections, all-source data blending, analytics, artificial intelligence, visualizations, and more.
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Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.
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Contribute to support and enable automated data analytics, machine learning and artificial intelligence projects. Proven track record of leveraging open-source capabilities such as Apache Spark, Apache Kafka or other streaming/messaging platforms.
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Strong proficiency in statistical modeling, machine learning, and data mining. Oversee the deployment of machine learning models and ensure they are integrated into business processes to deliver measurable results.
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The AIML Platform team is seeking talented senior to principal-level engineers to join our team with a focus on building a machine learning platform to support Machine Learning Development Lifecycle.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Proactively hunt for threats and undetected abuse by leveraging internal data, open-source intelligence, and third party private intelligence.
$173,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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