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Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. organization delivers exceptional technology, products, services and processes to support our Data and Machine Learning ecosystems and core functions that support holistic operations for Capital One as an enterprise.
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3+ years’ experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods.
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At least 10 years of industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in the area of natural language processing, human language understanding, computational linguistics.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with Digital Engineering, Machine Learning and Artificial Intelligence, Software Development, Solid-state Electrical Circuit Design, Unmanned Systems Design, Human Factors Engineering, or Fault Tree Analysis.
$60,400 - $137,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Chief Scientistshould have experience across one or more important technologies in the sensor technology space, which includes signal processing, acoustic, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, geospatial analytics, machine learning, and artificial intelligence.
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CUDA (Compute Unified Device Architecture) /OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of GPU hardware for parallel processing, high-performance computing, and machine learning on Linux platforms.
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Duties:Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C.
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Build and train Machine Learning models using Azure and Databricks technologies. Joining Nestlé IT means you'll never stop learning and sharpening new skills. Ongoing learning opportunities.
$129,000 - $176,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Foundational Knowledge of Google Big Query, Node.js, CSS, Python, Domo, machine learning concepts. Machine learning concepts. Experience working with Adobe IO (using APIs to connect to Adobe suite of products programmatically like Adobe Analytics 2.0) through Web UI's (like Swagger) or API clients like Postman.
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That's why we need you, a Machine Learning (ML) Cloud and DevOps engineer, to help us shorten the time it takes to get critical tools developed and into the hands of our Agile developers creating AI products.
$75,600 - $172,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Achieve quarterly new business sales targets by closing new consulting services opportunities related to Databricks, machine learning, business intelligence, data engineering, and other core service offerings of Lovelytics Collaborate and build strong relationships with our strategic channel partners, including Databricks, Tableau, AWS, and Azure, to identify joint sales opportunities, create tailored solutions, and leverage partner resources to maximize sales success.
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Experience with machine learning and/or artificial intelligence. Experience working with military aviation-based sensors and data (e.g. radar, electronic warfare, electro-optical, infrared, sonar, stores management, air data, fuel data, weapons data, engine data.
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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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Machine Learning: Proficient in machine learning techniques, including supervised and unsupervised learning, deep learning, computer vision, and natural language processing.
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machine learning jobs in Arlington, Missouri-city, Missouri
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