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The Data & Analytics department in Legal and Compliance is responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like reinforcement and deep learning as well as graph analytics.
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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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However, special consideration will be given to those interested in establishing a strong research program in communications, power and renewable energy systems, VLSI design (both digital and mixed signal) and manufacturing, and machine learning/signal processing, and data engineering.
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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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Proven experience (3+ years) as a Machine Learning Operations Engineer with a focus on NVIDIA Triton. Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areasStrong experience using modeling tools such as Python, SPSS, R, Matlab Demonstrated experience in the following: Uni and Multivariate Data Analysis, Application of predictive models, market segmentation and cluster analyses, time-series analysis, advanced regression modeling.
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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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Experience with open source or COTS forensics tools like eNcase, FTKImager, TestDisk, other things on Knowledge of Endpoint and Forensics section. Most work is during core business hours of normal business days; after hours surge efforts and on-call efforts.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat.
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You'll inform operational parameters for complex systems and leverage artificial intelligence and machine learning to influence the delivery of your work. Python, Assembly, or PerlScript 2+ years of experience with computer engineering, computer science, electronic and electrical engineering, or applied mathematics Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
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You will collaborate with other world-class scientists, researchers, and engineers innovating on a range of technologies including: Artificial Intelligence & Machine Learning (AI/ML), Advanced Training & Simulation, Production Analytics, Autonomy, Electro-Optical/Infrared Sensing, Cybersecurity, Disruptive Computing & Networks, and High-Fidelity Digital Twin & Virtualization, and much more.
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At AWS Enterprise Support we're looking for a Sr. Technical Account Manager (TAM) to supportour customers' creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Machine Learning, AI, Big Data, Security, Networking, Serverless and more.
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This includes scientific discovery achieved through the use and/or development of large astronomical databases, data visualization and discovery tools, image processing, data management, machine learning methods, and modern statistical methods.
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GliaCell is seeking a Junior Software Engineer on one of our subcontracts. Are you a Junior Software Engineer who is ready for a new challenge that will launch your career to the next level? If you want to be a drone, this isn’t the place for you.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. We treat patients with opioid use disorder (OUD) using medications such as methadone and suboxone/ buprenorphine.
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machine learning jobs in Glen Burnie, MD
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