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Founded in 2010, BrainTrust is an ever-growing and evolving company, with focus areas of Software Engineering (Machine Learning, Cloud Computing, HPC, Data Mining, HLT), Mission Operations (System Integration, Sensors, Deployment, Training, Support), and System Engineering (System Design, Requirements, Process Engineering, Resource Allocation.
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You will be familiar with the ecosystem of software vendors in the AI/ML space, in areas such as Natural Language Processing (NLP), classification modeling, unsupervised learning, generative AI and image recognition as well as be able to operate in Python data science environments.
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You must have deep technical experience working with technologies related to artificial intelligence, machine learning, deep learning, or generative AI. A strong statistics, mathematics, computer science, or technology background is preferred, in addition to experience helping customers architect enterprise grade AI/ML solutions.
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You will work alongside hardworking scientific and engineering teams to build machine learning software addressing scientific challenges such as materials discovery, synthetic biology, chemistry, computational fluid dynamics, and climate and weather modeling.
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Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Applied Mathematics, Machine Learning, Data Science, Computer Information Systems, Engineering, or related studies may be considered.
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IonQ's computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. Partnering with a cross-functional team, the Senior Device Validation & Test Engineer will work to develop tools and systems in support of ion trap design and analysis equipment sourcing, equipment install, driver development, scripting, experiment design, standard operating procedures (SOPs), and data analysis.
$161,289 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We are actively seeking an entry to mid-level software engineer with machine learning experience to join our team of software research scientists working on full scope polygraph research within the maryland customer footprint.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with big data platforms, black box testing, cloud computing, disassembly, global telecommunications system architectures and protocols, protocol analysis, ICS and SCADA design and systems, software debugging, streaming analytics, vulnerability management, or mitigation.
$193,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Conduct traffic engineering analyses such as traffic impact studies and operational analyses using software packages including Synchro/SimTraffic and Highway Capacity Software (HCS). Familiarity with traffic engineering software such as Synchro, SimTraffic, and HCS.
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Have skills and experience implementing complex mathematical techniques (such as neural networks and other machine learning approaches) in software applications. Have skills and experience with signal and image processing, data fusion, statistical analysis, mathematical optimization, pattern recognition, machine learning, and artificial intelligence techniques.
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Senior Software Engineer. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelors degree. This is a full stack software development position.
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The Sr Machine Learning Engineer is responsible for designing and applying new machine learning techniques for Rekor’s computer vision applications. With our disruptive AI-powered technology, integrated hardware and software solutions, and state of the art machine learning models, we deliver actionable insights and transformative impact that increase roadway safety, efficiency, and sustainability for our customers and citizens, while enabling safer, smarter, greener, and more equitable cities and communities.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Proven experience (3+ years) as a Machine Learning Operations Engineer with a focus on NVIDIA Triton. Model Deployment: Collaborate with data scientists and software engineers to deploy machine learning models, ensuring optimal performance, resource utilization, and cost tracking and savings.
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machine learning software engineer jobs Title: cloud software engineer Company: Erias Ventures Llc in Laurel, MD
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