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The Principal Electrical Engineer will lead the design and implementation of testing of embedded systems and identify engineering trends to drive strategies and Milwaukee Tool’s technical direction.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. The Embedded Systems Engineer II will collaborate with global Engineering and Operations teams to apply a platform use approach to all new designs while gathering and implementing design considerations for use in multiple product categories.
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The Reservoir Engineer IV - Machine Learning will perform and lead reservoir engineering technical work for the Permian Business unit working on projects including quantifying reserves and resources and providing reservoir engineering support for efficient development of Civitas’s Permian Assets.
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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.
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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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A candidate with an electrical engineering background will use AutoCAD electrical to develop and revise control designs through schematics, single line drawings and panel layouts, and will be involved in programming PLC and Human Machine Interfaces at the direction of the Electrical Engineers and Plant Engineer.
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Adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.
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SAIC is seeking a mid to senior level Electrical Engineer with a passion for electrical design methods, electrical CAD tools, and Digital Engineering interests to join our energized Engineering Innovation Factory Team of solution architects, digital engineers, and core engineers to define and build the infrastructure that fuels the Digital Engineering Transformation across our entire industry.
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The Machine Learning Engineer should have a combination of generalist machine learning skills, engineering analysis skills, and the ability to quickly develop specialist capabilities where needed.
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Modern Technology Solutions, Inc. (MTSI), is seeking a Artificial Intelligence/Machine Learning Scientist in Huntsville, AL. Support the identification of Artificial Intelligence and Machine Learning technologies and their potential application to DoD and Commercial customers.
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You will work alongside top machine learning, hardware, and software engineers. Bachelor's degree in electrical engineering, mechatronics, computer engineering, or another engineering discipline.
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Prior internship or research experience in any of the following areas: Signal Processing, Electromagnetics, Firmware, Software, Radar, FPGA, Software Defined Radios, Antennas, Jamming, RF Engineering, Wireless Engineering, Communications, Electro-Optical Engineering, Infrared Systems, Artificial Intelligence, Autonomy, Machine Learning.
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Photovoltaic energy storage, power distribution and vehicle charging) Strong knowledge of electrical engineering principles, theories, and methodologies. Proficient in using industry-standard design and analysis software, such as CAD tools, simulation software (, MATLAB, Simulink), and electrical circuit analysis tools.
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Job ID: TAP00086 Position : Lead Hardware Test Engineer Location : US – MD, Fort Meade (or surrounding area) Category : Hardware Clearance Requirement : Active TS/SCI w/ full scope polygraph Education Requirement : BS in Electrical Engineering (or related technical field) Experience Requirement : 10 Years TAP is seeking to hire a Lead Hardware Test Engineer to join our team.
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Master’s or PhD in computer science, EE Information Systems, Software, Electrical or Electronics Engineering. Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study.
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machine learning software engineer electrical engineering jobs Title: frontend software engineer
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