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Operate conversational milling machines, including setup, operation, and editing of Vertical/Horizontal Machining Centers, preferably with Haas machine experience. Machine parts from models, blueprints, drawings, and verbal directions.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
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Contribute to artificial intelligence/machine learning (AI/ML) and data modeling projects. Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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The Sr Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love.
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The Learning & Development Partner reports to the Learning & Development Manager and serves Brasfield & Gorrie’s internal clients as a learning and development professional. Assist the Learning & Development Manager with department planning (e.g. budget, program implementation.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred. Understanding of Master data management, data visualization and story building, data science and machine learning is highly preferred.
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Proficiency in design software such as Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere Pro) and e-learning authoring tools (Articulate Storyline, Captivate, Evolve). As an Instructional Designer with expertise in graphic design, visual design, and motion graphics, you will create engaging and visually appealing instructional materials, including e-learning modules, videos, and infographics.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Qualified candidates need to be passionate about the Machine Learning and Artificial Intelligence space, will excel in problem-solving and combine an advanced business or technical degree with consulting or product management experience and have a record of successful delivery of complex, multi-faceted projects.
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Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer. Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
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OTE seeks a candidate with experience in the field of residence life operations, education, social-emotional learning, with a passion for executing and monitoring comprehensive residential education programs designed to contribute to student learning, growth, and success intentionally.
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Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis. Employ machine learning and statistical modeling to create and enhance data driven products.
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machine learning jobs Title: reverse engineer Company: Meta in Atlanta, GA
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