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You have familiarity with analytics like machine learning, natural language processing, or data visualization, particularly for creating tools that scale complex analytics workflows for less technical end users.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Manage and administer CrowdStrike Falcon platform to ensure the security and integrity of our systems. Job Title: Cybersecurity Systems Administrator (CrowdStrike) Managed Detection and Response - W2 / 1099.
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They will also have familiarity with ISR data processing capabilities and maintain a contemporary grasp of Artificial Intelligence and Machine Learning tools that are utilized to support ISR data collection.
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Illustrative technologies or fields that the incumbent would be familiar with include big data, artificial intelligence/machine learning, open APIs, digital IDs, cloud computing, 5G, internet-of-things (IoT), distributed ledger technology, and others.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. 4+ years of experience with privileged and elevated access using cybersecurity tools, including Trellix Endpoint Security Suite (ESS), or McAfee HBSS, ePO, and FireEye tools, such as MVX, NX, HX, PX, IA, AX, IAS PCAP, or malware or forensics analysis solutions, and Palo Alto Firewalls, ForeScout, ACAS, or Splunk/Cribl.
$65,300 - $149,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Experience with data engineering tools such as Kubernetes/Rancher, Cloudera. The Leidos has an exciting opening for you as our next Tier 3 Service Desk/ Systems Administrator supporting the OSINT Integration Center under our 10-year DOMEX Technology Platform (DTP) contract.
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Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Set up administrator and service accounts, maintain system documentation, tune system performance, install system wide software, validate and implement system patches, including fast turnaround time security critical patches.
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Experience maintaining large data (Petabyte) environments and storage solutions. Experience with Configuration Management (Chef, Puppet, Ansible, Salt) and IaC tools such as terraform and AWS Cloudformation.
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HJF is seeking a Sr. ServiceNow Administrator to work under the guidance of the CIO Federal Lead and be responsible for working within the Agile methodology to support the design, delivery, and maintenance of digital workflow modules in USU's Enterprise ServiceNow platform in AWS Cloud.
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Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking. Develop cutting-edge, end-to-end data-driven solutions using a diverse range of machine learning approaches, including supervised, unsupervised, clustering, NLP, computer vision, and ranking.
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