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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.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We have built out a large engineering organization, moved to the cloud, re-architected our applications and data platforms, and embraced machine learning at scale. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Capable of applying the latest technologies and methodologies in data mining, machine learning, and predictive analytics to correlate disparate data sets and events, and derive value The Senior IT Systems Analyst shall provide technical and operational subject matter staff support to NSB OSU and various executive-level priority programs.
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At least 2 year of experience in data engineering using open-source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud) GEICO'S - Data Movement team of Data, Security & Infrastructure (DSI) department is seeking a highly motivated Senior Software Engineer to start or continue an IT career at GEICO on the GEICO Data Hub Telematics Project.
$76,000 - $236,500 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Leidos has a current opening for a TS/SCI cleared Senior Software Engineer supporting our client s overall mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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Five+ years of related experience with a bachelor’s degree in digital forensics, computer engineering, computer science, software engineering, Intelligence Studies, or a related field(s); or 3 years with a master’s degree; or a PhD with relevant experience; or an equivalent combination of education, work experience, and technical certifications from industry recognized institutions (SANS, CompTIA, EEE, ISFCE, GIAC, EnCE, ISC2, ECC, DC3, Cellebrite.
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Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server and Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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API architecture design, including RESTful services and microservices, integrating Machine Learning models into production systems to enhance data-driven applications and services.
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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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Deploying software in an AWS cloud with technologies like EC2, Amazon Aurora, Lambda (FaaS) and Kubernetes. Developing, designing, testing, and maintaining software that is primarily FOSS dependent with a heavy emphasis on Python programming.
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Skills: Experience in cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, and sonar systems. If you’re a whiz with cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, or sonar systems, you’re exactly who we need.
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Analytica is seeking a remote Data Engineering Lead to lead cloud data engineering implementations that support business intelligence, machine learning, data science and/or graph analytics on federal client projects.
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Responsible for work in one or more of the following environmental programs: Underground Storage Tank Management; Hazardous and Solid Waste Management; Water Quality Protection; Air Quality Protection; Hazardous Materials, including Indoor Air Quality, Lead Hazard Control, Pesticides, and Asbestos; Erosion, Sedimentation, Storm Water, and Flood Control; Nonpoint Source Water Pollution Control and Watershed Habitat Restoration; Contaminated Site Programs; and Environmental Planning Review.
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Leidos' Health Solutions uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission in advancing biomedical research and protecting public health.
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machine learning software engineer data processing open source jobs Title: machine learning software engineer in Bethesda, MD
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