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The candidate will work with teams within the LInC and across Leidos to plan and execute work that brings advanced machine learning & complex data science to bear on technical, high-dimensionality sensor data.
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Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, including Data Science and Machine Learning. 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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Knowledge of artificial intelligence, machine learning, and data science concepts, methodology, techniques, and technologies. Demonstrates excellent oral and written communication skills, a high level of integrity, critical thinking, and leadership.
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Create signal processing and machine learning models that process and understand signal data faster, more accurately, and more efficiently. Research and develop advanced machine learning algorithms and techniques in application areas including radar, electronic warfare, sonar, SIGINT, RF geo-location, and image processing.
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Working knowledge in various technologies to include Cloud Computing, Big Data, DevSecOps, and Automation. Drives the journey towards high-performing teams and ARTs through transparency, team empowerment and continuous learning in order to promote Business Value delivery.
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Enter data into databases, perform data quality checks, maintain database integrity for all actions relating to: patents, employee invention reports (EIR), patent maintenance and annuities, agreements and post-execution agreement compliance documentation.
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As an Artificial Intelligence Machine Learning Engineer on this DoD contract, you will p rovide technical assistance for identifying opportunities, in cooperation with agency-wide efforts, to address unique mission challenges with AI solutions incorporating machine learning (ML), neural networks, intelligent process design and Robotic Process Automation (RPA.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support program evaluations and the development of health policy.
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Update and provide network architecture diagrams that encompass areas such as WAN Transport, Transport Boundary, Security, Crypto, Tactical, Comm System, and Local Area Transport data. Nakupuna Consulting is seeking to hire a Network Architect to work as a member of the DARPA Information Technology Directorate (ITD) Software-Defined Wide Area Network (SD-WAN) Tech Refresh Team. A successful candidate will be responsive, have excellent communication skills (verbal, written, and listening), be a team player, promote consensus, embrace learning, and be a consummate problem solver.
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JTG is currently seeking an experienced Data Integrity Specialist to support an Intelligence Community customer in the Northern Virginia area. The Data Integrity Specialist is responsible for supporting data analytics activities that enable more efficient, timely, and in-depth understanding of trends, patterns, and relationships in large, diverse, vernacular datasets.
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We are a multidisciplinary team with expertise in machine learning, data engineering, and software development. Build end-to-end machine learning workflow, from data pipeline, modeling, tuning, evaluation, to continuous improvement, etc.
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We do everything from data collection to UI/UX development and advanced deep learning, using a broad toolset including Python, C#, and ArcGIS. Our projects include cutting-edge R&D efforts, as well as large mission programs incorporating data processing/optimization, data dissemination techniques, visualization, and collaboration across the commercial and government sectors.
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Experience working with cloud data processing technologies with at least one cloud provider solution such as AWS, GCP, or Azure. Master's degree in computer science, Software engineering, Data Science, Software Development, or STEM related specialty.
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Highly preferred) Google Cloud Certification - Professional Data Engineer, Machine Learning. Familiarity with data visualization software (e.g., R, Tableau, Power BI). Google Cloud Certification: Professional Data Engineer and/or Cloud Developer or ability to obtain certification.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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data administrator machine learning integrity jobs in Great Falls, VA
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