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The faculty in the department conducts research in areas such as cybersecurity, cyber identity, computer vision, data science, big data, artificial intelligence and machine learning, cloud computing, software engineering, multi-agent and social computing.
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Collaborate with business, engineering, infrastructure and data science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning deployment architectures for batch, real-time streaming and edge deployments.
$177,100 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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The individual should hold a degree in electrical engineering or computer science, with a preference for experience in patent prosecution related to electrical engineering, software technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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The ideal candidate will have a degree in electrical engineering or computer science, with expertise in patent prosecution related to electrical engineering, software, data science/AI, networking technologies, and machine learning/artificial intelligence.
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Preference will be given to candidates with experience in patent prosecution related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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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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Handling patent prosecution matters related to data science, AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Understanding of machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively.
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Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Difference between Machine learning, Artificial Intelligence and Deep learning.
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Certification in one or more of the following technologies preferred: Cloud, Database, Data Engineering, Data Analytics, BI, Data Science, Machine Learning, and Artificial Intelligence.
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Artificial Intelligence and Machine learning. Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago
big data software engineering artificial intelligence machine learning jobs Company: Artera Technologies
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