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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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SAIC’s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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The department’s research portfolio is thriving, with faculty actively engaged in research in a diverse range of fields such as bioengineering, communications and networking, computer engineering, controls and robotics, cyber-physical systems, cyber security, digital forensics, machine learning, nanoelectronics, power systems, signal processing, and space-based systems.
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As an Account Manager at Esri, the global leader in geospatial science and GIS, you will apply your selling skills to address a huge transformation in technological capabilities across the public sector that includes Artificial Intelligence (AI) and Machine Learning (ML), Kubernetes, digital twin, data science, big data, Microsoft Fabric; distilling IoT-generated data into actionable intelligence, cloud computing, and more.
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Analyze data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g., SAS, SPSS, and Oracle); build analytical solutions using programming languages (e.g., R, Python, SAS), and programming libraries (e.g., Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
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Required Technical Skills : Knowledge/experience in one or more of the following:Back-end Development: Experience with Java, PythonFront-end Development: Course or internship experience with UI/UX design concepts and frameworks (CSS/HTML, JavaScript ie Angular, Vue, Reacts) Experience with data engineering or machine learning technologies.
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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques.
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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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Recognized expert technologist with 20+ years experience in mission software solutions related to data science, machine learning, or other similar technology. Knowledge of machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-Learn.
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Expertise implementing machine learning models into cloud native environment and utilizing containerization platforms such as AWS Cloud Containerization services, Docker, and others. What you'll do: Provide TS/SCI machine learning model integration into R&D environments Install, configure, and maintain Linux servers while ensuring system performance, security, and stability.
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To enable this, The Aerospace Corporation is focusing on critical technologies such as artificial intelligence, machine learning, photonics, optical communications, additive manufacturing, electric propulsion, as well as new tools in modeling, simulation, cloud computing, and digital engineering.
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TS/SCI with Poly Required - BS Degree (Technical) Basic Requirements: Experience with Web UI/UX design and development Ability to create and integrate with APIs Solutions Architect Associate certification or other Associate certification (In Progress acceptable) Preferred Qualifications: Basic understanding of Machine Learning pipelines Familiarity with data stores or databases Experience working with software development projects with low to high deployments.
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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education.
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Related experience may include: Construction Equipment Mechanic, Equipment Mechanic, Equipment Technician, Field Mechanic, Field Service Technician, Field Technician, Heavy Equipment Mechanic, Heavy Equipment Technician, Mechanic, Mobile Heavy Equipment Mechanic, Lubricator, Machine Repairer, Maintainer, Maintenance Electrician, Maintenance Man, Maintenance Mechanic, Maintenance Technician, Maintenance Worker, Oiler, Overhauler.
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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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machine learning jobs Title: expert Company: The Realreal in Chantilly, VA
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