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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Autonomous Sensor Deployment: Imagine sensors, positioning systems, artificial intelligence capabilities and wireless communications on active rail cars, all autonomously inspecting railways.
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Hands-on experience with technology such as sensors and signal processing, machine vision and machine learning, and internet-of-things type technology. Knowledge of autonomous sensor deployment and AI-driven machine vision.
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We apply advanced technologies such as Digital Signal Processing, Analytics, Machine Learning, Artificial Intelligence, and Cloud computing to solve our customer and mission challenges.
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As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a data strategist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
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In-depth knowledge and expertise in artificial intelligence, machine learning, deep learning, and natural language processing, with a proven track record in designing and developing AI systems for military and defense applications.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly. Infrastructure Support (IS) certification, including CEH, CySA+, GICSP, SSCP, CHFI, Experience with DevSecOps, CI and CD, IaC and CaC, IT Infrastructure Library, and IT.
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Familiarity with additional technologies like Qlik, Tableau, Micro-Services, Web-services, Chatbots, Machine Learning (ML)/deep learning, Natural Language Processing (NLP), Lucene/ElasticSearch.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Experience with provisioning virtual resources and building infrastructures in AWS, Google Cloud, Microsoft Azure, and Digital Ocean commercial clouds. Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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And Deployment: Lead the deployment of IAM and PAM solutions, ensuring alignment with business requirements and IT security policies. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.
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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Experience in artificial intelligence fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems.
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Create cyber threat intelligence conclusions by using data science and analysis (e.g. outlier detection, gap analysis, normalization, machine learning, automated models, natural language processing, etc.
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deployment machine learning artificial jobs Company: Jpmorgan Chase Co in Vienna, VA
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