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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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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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We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics.
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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with DevSecOps, CI/CD, IaC and CaC, IT Infrastructure Library, and IT Service Management.
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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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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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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python.
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Registered Cardiovascular Invasive Specialist (RCIS) or Certified Interventional Technologist (CIT) or Cardiovascular Technologist (CV) preferred. As an Interventional Radiology Cardiovascular Radiologic (IRCV) Technologist, you perform a variety of technical and patient-oriented duties during interventional radiology and cardiovascular procedures, including, but not limited to cardiac catheterization, port insertions, gastric tube insertions, pacemaker insertions, arteriograms, venograms, digital subtractions, vascular studies, nephrostograms, angioplasty and other related studies.
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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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The ideal candidate will be a creative thinker, with a passion for designing engaging and effective learning solutions across a variety of learning platforms and modalities including eLearning, instructor-led, group/social, applied learning, coaching/mentoring, video/podcast, and document-based learning experiences.
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15 years of prior experience in leading and scaling a data engineering organization, and overall data and analytics functions (e.g. data planning, data governance, data management, data visualization, machine learning, AI, etc.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. GliaCell is seeking a Junior Software Engineer on one of our subcontracts.
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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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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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machine learning jobs Title: expert Company: Expert Hiring in Laurel, MD
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