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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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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
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Equipment utilized may include, but is not limited to monitoring equipment, surgical instruments, cardiac output machine, pulse oximeter, ECG machine, intra-aortic balloon pump, AngioJet, etc.
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1+ years of experience as an instructional designer, e-learning developer, or related role, with proficiency in Articulate Storyline. Course Design: Design and develop interactive e-learning courses using Articulate Storyline, incorporating multimedia elements, assessments, simulations, and interactive exercises.
$85,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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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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Experience with RESTful services, JavaScript, Bash scripting, Jenkins, Rancher/Kubernetes, Docker, Airflow, and data science/machine learning are preferred. Experience with RESTful services, JavaScript, Bash scripting, Jenkins, Rancher/Kubernetes, Docker, Airflow, and data science/machine learning are preferred.
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GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. c#, developer, matlab, programming, software development engineer, software engineer, software programmer.
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This person is also responsible for coordinating efforts across the classroom experience innovation portfolio, integrating course authoring tools within the Learning Management System (LMS) and Learning Content Management System (LCMS) ecosystem, and implementing other ed tech classroom solutions to support student learning and success across Adtalem institutions.
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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? 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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Desired: Cloud System Administration Certification (AWS or other cloud platform), Ansible automation, Experience working in an Agile and Scrum environment, Machine Shop Administration (NSA proprietary), Experience using Kibana or Splunk dashboards to monitor application activity, Risk Management Framework, Docker or Kubernetes containerization experience.
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5” or 6” GUTTER MACHINE. Combo machine is a plus! Plus, we pay every week & pay mileage. LeafFilter the #1-rated professionally installed gutter protection system in America, as rated by leading consumer magazines.
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System design and software implementation of proof-of-concept prototypes incorporating a variety of engineering disciplines: control theory, software development, signal/video processing, pattern recognition, machine learning, artificial intelligence, high performance computing, applied mathematics, network/web services, and visualization.
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Use PyTorch, Tensorflow, and/or XGBoost Machine Learning (ML) libraries to apply LLM. Use JIRA and Machine Learning Operations (MLOps) to track progress. Support the Laboratory for Analytic Sciences (LAS) in developing and coding a machine learning recommender system for corporate data feeds.
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At least 5 years of post graduate professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization.
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machine learning jobs Title: pediatric Company: University Of Missouri in Columbia, MD
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