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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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As a machine learning engineer, you'll train, test, deploy, and maintain models that learn from data. As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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Assess, transform, organize, and optimize data for use by machine learning algorithms. You are familiar with machine and deep learning libraries such as Scikit-learn and PyTorch.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Knowledge of machine learning, artificial intelligence, or data analytics. Experience leveraging a modern web framework (such as React or Vue) and related technologies. While responding to these challenges, you will leverage and grow your hands-on skills with software design and development, engaging in the full software engineering lifecycle using modern technologies.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure Client (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Our developed systems empower our customers to deliver Live as well as On-Demand Video Streaming to their audience, store and share multimedia content as well as perform Video and Audio Analysis using Machine Learning.
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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud.
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Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance-Complaints.
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Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. 3+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST.
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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Subject matter expertise in one or more of the following: Artificial Intelligence (AI), Natural language Processing (NLP), Machine Learning (ML), Statistical Models, and Text Analytics on large data sets.
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We follow SAFe agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first", use modern tech stacks, and constantly challenge each other to grow and improve. You have worked with imagery data, overhead imagery (optical or Synthetic Aperture Radar (SAR.
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Integrate, configure, and implement: machine learning (ML) and artificial intelligence (AI) technologies; platform as a service (PaaS) capabilities to include containers and container technologies; authorization, authentication, single sign-on, and identity management capabilities to include Identify, Credential and Access Management (ICAM); geospatial mapping capabilities and services; and data analytics capabilities.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
modern data machine learning jobs in Vienna, VA
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