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6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment. Work with clients to design, develop, and deploy new architectures for machine learning & automation applications such as ELT functions, HPC/compute infrastructure, hybrid cloud solutions, database management, and optimization of DevOps procedures.
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At AWS, we're hiring experienced Machine Learning Engineers with a background in NLP, generative AI, and document processing to help our customers understand, plan, and implement best practices around leveraging these technologies within their AWS cloud environments.
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Strong understanding of big data analytics , machine learning , and data manipulation techniques in geospatial contexts, providing insights into how emerging technologies can enhance GEOINT capabilities.
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Leverage Databricks for data engineering, analytics, and machine learning tasks within application development. Engage in the full software development lifecycle, from design to deployment.
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Strong engineering experience with the following core platforms and services:VMware ESXi and vSphereMicrosoft Windows Server and Deployment and AdministrationMicrosoft Windows 10 Deployment and Administration DNS, DFS, and DHCPActive Directory and defining, implementing, and maintaining Group Policy Microsoft SCCM with Operating System Deployment (OSD)Data center networking fundamentals (experience with software defined data center networks a plus.
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The Assistant Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. An Assistant Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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Extensive experience with Azure Data services (Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Data Lake Analytics, HDInsight, Machine Learning, and Stream Analytics). Apply your skills in Azure Cognitive Services, Azure P,aaS, and Machine Learning services.
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San Francisco and San Jose, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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Required Technical Skills : Knowledge/experience in one or more of the following:Back-end Development: Experience with Java, PythonFront-end Development: Course or internship experience with UI/UX design concepts and frameworks (CSS/HTML, JavaScript ie Angular, Vue, Reacts)Experience with data engineering or machine learning technologies.
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Wolters Kluwer Tax & Accounting North America is looking for a Sr. Field Sales Manager to join our Research & Learning team in a remote home office in the Northeast! As a Sr. Field Sales Manager for Wolters Kluwer Research & Learning, you will have primary responsibility for driving profitable sales growth in assigned accounting firms within a geographic territory that meets or exceeds sales goals.
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Infrastructure as Code (IaC):Develop and manage IaC scripts and templates using tools such as Terraform and Ansible to provision and manage database automated deployment pipelines for database changes and with DevOps and development teams to integrate IaC practices into the database lifecycle.
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Ability to perform the complete system life cycle using Agile Engineering and Scrum Methodology preferably in JIRA.Hands-on experience that demonstrates competence in developing scripts to automate configuration, installation, and support deployment activities and exposure to CI/CD utilizing DevOps/Agile SDLC using with GIT, SVN, Maven, Jenkins, Selenium, Ansible or Chef. Exposure to collaboration tools such as SharePoint, Confluence and Jira is preferred.
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2+ years of education or experience in at least one technical area related to next-generation wireless communications including 5G, 6G, ORAN, and LED satellites; advanced computing, including quantum, artificial intelligence/machine learning, and high performance computing; biotechnology, including neuroscience, human DNA forensics.
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Experience with deployment, configuration, and management of diverse number of security solutions and platforms such as DLP, CASB, SIEM, EDR, Firewalls, IDS/IPS, or MDM. Play a key role in our Data Security Program with engineering the deployment, configuration, and management of data security protection technologies and data classification.
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deployment machine learning jobs Title: platform Company: Red Hat in Reston, VA
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