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Conducting cutting-edge research in the fields of artificial intelligence, machine learning, and robotics, specifically as they relate to autonomous vehicle technology. Staying up-to-date with the latest advancements in AI, machine learning, and autonomous vehicle research, and identifying potential areas of improvement for our existing systems.
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Collaboration across the larger Riverside Research organization to facilitate the development and transition of revolutionary RF Solutions in important technology areas in the sensor technology space, including signal processing, RF and optical hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures, and software development.
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Experience in artificial intelligence fields, such as computer vision, deep learning, machine learning, planning, human machine teaming, and multi-robot systems. Degree in Computer Science, Robotics, Electrical Engineering, or a related field, with a focus on artificial intelligence, machine learning, or robotics.
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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.
$206,645 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with the MLOps, machine learning lifecycle and product landscape, for example: Amazon SageMaker, Apache Airflow, Looker, Trifacta etc. Knowledge of multi-account architecture, leveraging tools such as AWS Control Tower, SCPs, GuardRails, and Transit GatewaysWide technology experience that may include cloud architecture, cloud migrations, applications development, networking, security, storage, analytics, or machine learningShall possess AWS Solution Architect (Associate or Pro) certification.
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Build and maintain strategic partnerships with technology vendors and professional services firms specializing in advanced analytics, generative AI, Natural Language Processing (NLP), machine learning, and advanced data management technologies.
$229,925 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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AI/Machine Learning: TensorFlow, KubeFlow, AutoML, BigQuery ML, AI Platform. Implement and manage machine learning models and data analytics solutions using GCP AI and ML tools.
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5+ years of hands-on experience as a machine learning engineer or data scientist with at least 2 years focused on Natural Language Processing. 8+ years of hands-on experience as a machine learning engineer or data scientist.
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Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
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Hands-on experience with popular machine learning libraries and frameworks, (e.g., TensorFlow, PyTorch, Scikit-learn, Keras, SciPy, etc. A candidate who will architect and implement machine learning and extract-transform-load (ETL) algorithms and conduct data integrity and validation actions.
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Experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
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Supports defining, enhancing, evolving and demonstrating Steampunk’s point of view and delivery approach related to Machine Learning, Data Science, Data Visualization, Data Engineering, Data Architecture, and Data Strategy services to the Federal market.
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As a Data Scientist at Capital One, you'll be part of a team that's 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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The school’s areas of expertise include Cyber Security & Cloud Computing, Networking Wireless, and Data Center, Big Data, IoT & Data Science, Project Management, Agile, DevOps & ITSM, Artificial Intelligence & Machine Learning, Deep Learning & Cognitive Computing.
$80,000 a yearPart-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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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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machine learning jobs Title: machine scientist in Reston, VA
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