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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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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Our client is seeking a Cybersecurity Machine Learning Engineer by developing and deploying machine learning models tailored to its cyber mission and objectives. Experience utilizing CUDA and NVIDIA GPU accelerated libraries for AI, machine learning, and deep learning tasks.
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Experience and/or proficiency in Machine Learning, Artificial Intelligence, and/or Natural Language Processing. Experience developing and delivering technology in at least two of the following areas: data analytics, machine learning, data visualization, geospatial analysis, web services, or database development.
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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. Explore new machine learning and artificial intelligence approaches for automated object detection, feature extraction/target state estimation, multi-source data fusion, and much more.
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Knowledge and experience with deployment architectures on-premises and in cloud environments like AWS, Azure and Google Cloud. Ability to help customers overcome technical and training hurdles while expanding their use of the platform.
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The candidate will also provide quantitative/qualitative analysis of technologies as well as serving as Subject Matter Expertise in technical areas of Artificial Intelligence (AI)/Machine Learning, Intelligence, Surveillance and Reconnaissance (ISR) & Electromagnetic Warfare (EW), Space and Stratosphere, Information Operations, Hypersonics, and/or Demonstration and Experimentation.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly. As a Sr Cyber Engineer and assured, compliance, assessment, and solution (ACAS) SME on our team, you’ll be able to work individually or in a small integrated team, and lead a task, project.
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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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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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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Proficiency with Windows OS, Linux OS, iOS, Android OS, and macOS applications (Installation, troubleshooting, debugging), along with deployment tools (SCCM, GPO, AD, JAMF)Fundamental understanding of Kubernetes, GCP, and AWS for troubleshooting cloud agent deployment and data extraction.
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As a Junior Software Engineer, you will support a mission critical program leveraging open-source technologies, AWS cloud compute, services and infrastructure and machine-learning to automate tasks and provide insight for the Department of Defense.
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Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Required Qualifications Active TS/SCI Clearance #qinetiqclearedjobProficiency in common geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, A WS Sagemaker, A WS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.3+ years of relevant experiencewith a bachelor’s degree.
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deployment machine learning jobs Title: platform engineer Company: Red Hat in Fairfax, VA
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