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Proficient in program management, systems engineering, and an in-depth knowledge of one or more of the following: (1) Long range fires; (2) Data science, artificial intelligence, deep learning systems, Autonomous systems; (3) Long range weapon kill chains; (4) Communications, networking, inter-networking in communications denied environments; (5) Cyber.
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Previous experience working with deep learning frameworks and architectures such as MXNet, TensorFlow, PyTorch, CNN/RNN/LSTM, Autoencoders, Transformers. - Phd/MTech/MS in Computer Science, Artificial Intelligence/Machine Learning, Mathematics or Statistics.
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Since our founding, we have intentionally fostered a culture of diversity, equity, and inclusion-supported by deep-rooted core values, one of which is diversity. Focus on learning, development, and career growth.
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Specific technologies/languages required: AWS, Azure, Terraform, Python, Bash scripting, Linux (Ubuntu/Centos), Networking, AI/ML Deep Learning. Specific technologies/languages required: AWS, Azure, Terraform, Python, Bash scripting, Linux (Ubuntu/Centos), Networking, AI/ML Deep Learning.
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Strong proficiency in Python programming and deep learning libraries such as TensorFlow, PyTorch, or Keras. Train and fine-tune convolutional neural networks (CNNs) using deep learning frameworks such as TensorFlow, PyTorch, or Keras.
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Proficiency in data science modeling such as Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling and Clustering.
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Experience with machine learning, deep learning, natural language processing (NLP)/large language models (LLMs), computer vision. Experience with machine learning libraries such as sklearn, Pytorch, TensorFlow.
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Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
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We use a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies including Artificial Intelligence and Machine Learning to support our customers’ mission in advancing biomedical research and protecting public health.
$144,300 - $260,850 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Experience with deep learning frameworks and infrastructure like TensorFlow or PyTorch. Knowledge of Machine Learning Ops and CI/CD tools for automation of build, testing, and deploying models in production environments.
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Develops solutions that support artificial intelligence, machine learning, and deep learning to facilitate dynamic automated signal development processes, that include recognition and exploitation.
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7 years of experience in AI applications (e.g., deep learning, NLP, computer vision, or pattern recognition). Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch.
$167,000 - $256,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Demonstrated experience using CUDA and NVIDIA GPU accelerated libraries for AI, machine-learning, and deep learning. Demonstrated experience applying deep learning and machine learning processing libraries, including PyTorch, TensorFlow, Keras, and scikit.
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3-5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment.
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deep learning jobs in Herndon, VA
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