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Leverage Databricks for data engineering, analytics, and machine learning tasks within application development. Proven experience as a Full Stack Developer with expertise in Angular, Java, microservices, Python, and Databricks.
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Knowledge of software and algorithm development, machine-learning algorithm development, or artificial intelligence techniques applied to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas.
$182,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with and ability to architect solutions using a broad range of AI techniques including (but not limited to) Data Science, Analytics, Autonomy/Autonomous Systems, Machine Learning, Deep Learning, Reinforcement Learning, NLP, and Generative AI/LLMs.
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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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This team supports all ERM functions, the Compliance Office, the Ethics Office and multiple other partner organizations by providing advanced statistical analytics, machine learning capabilities, data mining and automation solutions.
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The purpose of this effort is to advance the state of the art in Big Data, data analysis, Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics to enhance the DoD’s and the IC’s information processes and technical architectures.
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Experience in robotics-relevant fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems. Work on topics in robotics-relevant fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems.
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Experience with machine learning including model development, evaluation and optimization using tools and packages such as: sklearn, NumPy, PyTorch, or TensorFlow. Experience in Machine Learning to include: feature extraction statistical approaches, linear and non-linear classifiers and deep learning.
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Data science, machine learning, optimization models, 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 science / Machine Learning tools to include Pandas, PyTorch/TensorFlow, NumPy, MatPlotLib, PostGreSQL, FastAPI. Data science / Machine Learning languages to include Python.
$129,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Studying, transforming, and applying state-of-the-art machine learning prototypes to sponsor specific domains. Designing, developing, and researching machine learning systems, models, and schemes.
$129,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Developing software and algorithms, machine-learning algorithms, or artificial intelligence techniques and applying them to digital RF signal processing, RF engineering or spectrum theory, communication systems, electronic warfare, SIGINT processing, or related areas is also a plus.
$182,400 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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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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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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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 in Herndon, VA
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