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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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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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Contributing to the development of proprietary machine learning models/tools and frameworks. Minimum 4 years of experience as a Machine Learning Engineer, Software Engineer, Data Scientist, or a similar role, with a focus on developing and deploying ML models, as well as building the corresponding infrastructure for model scaling and pipeline automation.
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Working at Xcelerium will provide an opportunity to work on a complex development from the ground up and become familiar with cutting edge technologies such as the wireless signal processing, computer vision, sensor fusion, machine learning and inner workings of frameworks such as TensorFlow, PyTorch, OpenCL and OpenGL, etc.
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Machine learning or data science certification from Certified Analytics Professional (CAP) or similar organizations. Proficiency with data analysis tools (i.e., Python, R, MATLAB and machine learning techniques.
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As a Senior Associate in the role of Machine Learning Scientist specializing in Natural Language Processing (NLP), you will be tasked with the application of advanced machine learning techniques to intricate tasks such as natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
$333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The mission of the Waymo Applied Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of the safely operating Waymo vehicles in dozens of cities and under all driving conditions.
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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Fairlane was established over 50 years ago and manufactures a comprehensive line of workholding and machine components in Fraser, MI. Our machine shop consists of late model CNC production bar lathes, swiss lathes, mills, a 5-axis mill, assembly servo and hydraulic presses and other manual equipment.
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Deploy and maintain machine learning models in production environments (Astronomer, AWS, Snowpark). Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Train personnel on machine setup, machine operation, and machine repair for all Index and C.N.C. department machinery. Locate and secure most economical replacement components needed for machine repair.
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We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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Hybrid work schedule based in New York City reporting to the engineering manager of the machine learning platform. We are looking for a Software Engineer, with a focus on MLOps, to join our Machine Learning Platform team to help solve creative challenges around Machine Learning infrastructure for the New York Times.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago
machine learning jobs Title: analytics development consultant in New York, Bentonville, Kansas
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