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Purpose of the Team: The purpose of this team is working with the Hardware – Design Validation Engineering team, which develops test solutions (hardware, software, and data infrastructure) to improve the design of the product.
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Job description- " B.E. B. Tech M. Tech/ MCA in computer science, artificial intelligence, or a related field 6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) Strong programming skills in Python Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) Hands-on AI/ML modeling experience of complex datasets combined with a strong understanding of the theoretical foundations of AI/ML(Research Oriented.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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As part of the central hardware power engineering group, you will collaborate with various functions like Hardware Design and Test, ASIC Design and Test, Power Engineering, Signal Integrity, EMC / EMI, and Mechanical Design, expanding the breadth of your knowledge, designing power and delivering amazing products to the market.
$214,100 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Pearson VUE provides a full suite of services from test development to data management and delivers exams through the world’s most comprehensive and secure network of test centers in more than 180 countries, where we validate the skills and knowledge of millions of individuals every year.
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Design GUI applications to analyze test data and generate test reports. Collect and analyze data based on defined test plans. Work closely with various core tech teams and other organizations to define test procedures and specs for new prototype devices and systems.
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Review of applications and SDKs to detect malicious or inappropriate behavior by analyzing, unpacking and reverse engineering software that compromises Android devices. encase, SANS, ftk, brute force, cyber, incident, response, breach, investigation, analysis, log, endpoint, detection, remediation, ransomware, dfir, malware, network, host, live box, dead box, host based, end point, digital forensics, security, RCA, Root cause analysis, forensics, DFIR, Autopsy, Xplico, SIFT, Investigate, engineering, malicious, app store, google, google play, mobile app, java, kotlin, ative.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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6+ years of IT experience with a min of 3+ years in Data Science (AI/ML) B.E./ B. Tech / M. Tech/ MCA in computer science, artificial intelligence, or a related field. Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools.
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The Political Science Department seeks candidates for a part time lecturer instructional position to teach lower and upper division courses in the political science major. The Political Science major provides students with an understanding of politics and government, prepares them to be active, engaged, and informed citizens, and further develops skills in critical analysis and communication.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. You will play a key role in our Advanced Technology Group "ATG.
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. The successful candidate will gain an understanding of the data science techniques to power TikTok monetization and drive meaningful improvements in ads targeting and ranking models.
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PhD/MPhil Degree in Computer Science / Optical Engineering / Computer Engineering / Electronic Engineering / Mechanical Engineering/ Information Technology / Mathematics / Physical or relevant disciplines and 1+ years working experience.
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Conduct analysis on simulation or flight test data to compare the AAM airspace performance against system performance metrics. Experience: 5+ years of experience in the following areas: aerospace engineering, data engineering, or simulation and modeling of dynamic systems.
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Civil Engineering (especially Structural emphasis or interest), Chemical Engineering, Computer Engineering/Science, Cybersecurity, Electrical Engineering, Industrial Engineering, Materials Science, Mechanical Engineering, Manufacturing Engineering, Mathematics, Physics, Software Engineering, Structural Engineering, Quality Engineering, Industrial Engineering Technical, Industrial Management, Operations Research, Engineering Mechanics.
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BS degree (MS degree preferred) in technical degree in Engineering, Chemical Engineering, Physics, or Materials Science. OmniVision Technologies, Santa Clara is looking for a Failure Analysis Engineer to join our engineering team.
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software engineering data science test jobs Company: Walmart in Sunnyvale, CA
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