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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. At least 6 years of experience in software engineering (Internship experience does not apply.
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As a patent agent within this practice, you will likely deal with a wide range of electrical and computer engineering applications (industrial electronics, power and control systems, analog and digital circuits, chip architecture, RF, WiFi, digital video, wireless telecommunications, network protocols, network security, IEEE standards, cryptography, artificial intelligence (AI), mobile and consumer electronics, enterprise applications, web services, software user interfaces, etc.
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex technologies (e.g., robotics; kinematics; structural engineering pertaining to complex dynamic systems; machine design; automated manufacturing machines, equipment, and related control systems; mechatronics; application of state-of-the-art machine learning (ML) and artificial intelligence (AI); optical systems, etc.
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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Bachelor's degree in Computer Science, Engineering, Information Systems, or related field/work experience.
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Hands-on experience or familiarity with CARMA ecosystem (e.g., CARMA platform, CARMA streets, CARMA messenger, and CARMA Cloud) Experience with implementing artificial intelligence (AI) and machine learning in transportation Familiar with augmented reality (AR) and virtual reality (VR) technologies.
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The Leidos has an exciting opening for you, as a Cloud Engineer, to play a critical role with design, engineering, development, deployment, and use of software for the DOMEX Technology Platform (DTP) where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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We value broad and deep technical knowledge, specifically in the fields of cryptography, network security, software security, malware analysis, forensics, security operations, incident response, and emergent security intelligence.
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Professional Engineering License, Lead engineer for Former NAVSEA Ship Design Manager, USCG Deck or Engineering License. BS Degree in Naval Architecture, Marine Engineering, Mechanical Engineering, Electrical Engineering, or related degree.
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Provide subject matter expertise with experience in the following technical areas: Artificial Intelligence (AI)/Machine Learning to assess the performance of software which shall enable autonomous vehicle and control elements, perception, cognition, and action of system controls within an existing prototype.
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Bachelor of Science degree in Engineering or Licensed Professional Engineer (2) (3) (1) Master's degree in Engineering reduces the OJT experience requirement by 1 year. Influences project decisions having a moderate impact on the company that may include leading employees or contractors in the commissioning of electrical systems and equipment to be placed On System.
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Solutions architecture and hands-on engineering/full-stack development of scalable and secure distributed systems using modern software technologies and programming, Cloud Native and microservices architecture, containerization, and API-First design patterns.
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Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study. The Media & Metadata Acquisition and Syndication Services (MASS) team is seeking a Senior Software Engineer to help us deliver excellent linear & streaming experiences for Hulu, Disney+ and ESPN as a developer of our metadata integration platform.
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Utilize expertise in Civil Engineering to accurately estimate project costs for Heavy Highway and Road construction ventures. Proficiency in construction estimation software (e.g., HCSS HeavyBid, B2W Estimate) and Microsoft Office Suite.
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New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Machine Learning EngineerSan Francisco, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Lead Machine Learning EngineerRemote (Regardless of Location): $198,900 - $227,000 for Sr. Lead Machine Learning Engineer.
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electrical engineering machine learning software engineer jobs Company: Apple in Bethesda, MD
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