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As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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7+ years of progressive Information Technology/Information Security experience in engineering and development of IGA features & Application integration including at least 4 years of experience in SailPoint IIQ Implementation, Configuration, Customization, and deployment in an enterprise environment.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (AI), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Utilize developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication) to perform advanced-level Mobile/Web/UI design, implementation, and maintenance activities under minimal direction.
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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with implementing machine learning pipelines using TensorFlow, Numpy, Scikit-Learn, OpenCV, DVC, W&B, TFLite, SNIPE, SHAP, UMAP, or ART.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Acts as the professional resource for site safety including but not limited to electrical safety, chemical safety, personal protective equipment, machine guarding and respirator safety. That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.
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Experience with infrastructure-as-code (IaC) tools (Deployment Manager, Terraform) and configuration management tools (Ansible, Chef, Puppet). Automate cloud infrastructure provisioning and management using infrastructure-as-code (IaC) tools like GCP Deployment Manager and Terraform.
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Cleans and disinfects dialysis machine surface, chair, equipment, and surrounding areas between treatments according to inpatient renal services policies and procedures. Performs all required pre-treatment dialysis machine alarm testing.
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When you join our organization as a Veterinary Technician, you gain access to a peer network of over 5000 individuals, CE allowance, and Learning & Development programs to help you meet your career goals.
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Experience must include 6 months in each of the following: Tableau; Python (Jupyter Notebooks, Spyder); Python libraries: Pandas, Matplotlib, GeoPands, Shapely; EXCEL VBA; QGIS (Geographic Information System); Power BI; machine learning techniques (including exploration data analysis, sampling, decision trees, clustering, random forest, logistic regression; and SAS language (Base/Macro.
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They will perform data cleaning and data pipeline engineering, analyze textual and numerical data, and utilize tools in Azure and AWS cloud environments to deploy generative AI, natural language processing, and machine learning workflows.
$146,000 (equity)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Manage a team of engineers in the deployment, integration, and configuration of Symantec DLP solution to protect sensitive data for high value assets and major infrastructure investments. Implement data protection controls in Amazon Web Services (AWS) and Google Compute Platform (GCP.
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The Machine Learning/Data Science Research Engineer will participate in an end-to-end design and implementation of deep learning solutions for application in network/graph representation learning (NRL) and graph construction/generation/completion.
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Job Description General Summary The Healthcare Data Scientist - Machine Learning/AI, Statistics, Operations Research position will join our Advanced Data Science group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization.
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deployment machine learning jobs Title: platform engineer Company: Baird in Rockville, MD
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