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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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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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Capable of using milling machine, lathe, surface grinder. While reporting directly to the Manufacturing Manager, the Mechanical Machine Builder will plan, organize, and execute all phases of a machine build.
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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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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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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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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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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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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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Machine Learning: Proficient in machine learning techniques, including supervised and unsupervised learning, deep learning, computer vision, and natural language processing.
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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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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 applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning) The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
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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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machine learning jobs Title: assistant in Arlington, Missouri-city, Missouri
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