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Arts Consulting Group (ACG) is the leading provider of hands-on interim management, executive search, revenue enhancement, strategic planning & community engagement, facilities & program planning, and other capacity building services for the arts and culture industry.
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Join Accenture Federal Services to do the work you love in an inclusive, collaborative, and caring community, where you can be empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
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Must possess 3 years of experience configuring, tuning, and maintaining big data technologies including at least two of the following: Elastic Search, Cassandra, Janus Graph, H-BaseMust possess 2 years of experience configuring, tuning and maintaining production Kubernetes container orchestration clusters.
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Extremely good hands-on experience with Standalone and Clustered UNIX (AIX/Solaris/HPUX/RHEL/etc.) Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.
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As a Machine Learning Engineer, you'll engage new ML use cases through hands-on customer problems and generalize learnings into the core Numbers Station platform. Ultimately this democratizes access to data within organizations and enables them to quickly act on those insights.
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Hands-on experience using tools such as Document Intelligence (formerly Azure Form Recognizer), Snowflake, Azure AI Search, Azure OpenAI. Hands-on experience working with unstructured data.
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Onsite Client support for ESRI ArcPro skills, Data Driven Pages/Map creation and publication, GIS Analysis, Spatial Data Analytics, Metadata, Data Editing, QA Hands-on software development solutions for ESRI Web Apps, ESRI.
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At least 1-3 years of experience in reference librarianship Proven experience in distilling complex research into succinct, accurate, and grammatically correct technical writing in response to research/reference requests Working knowledge of digital preservation standards and best practices in a professional environment Hands-on experience with metadata and taxonomies for digital collections.
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This person will working on all new green development projects utilizing an array of tools such as: JVM programming languages(Java/Springboot, Groovy, Python), Docker + Kubernetes, Javascript/React, Kafka, Elastic Search, Lucene, Spark, and Cassandra, DynamoDB as well as Neo4J. Obviously very few folks have touched/been hands-on with all of these tools in production.
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Lead efforts to leverage emerging technologies including Data Lake, mesh networking, AI and ML, and generative AI to enhance indexing, metadata tagging, administration, management, security, search, access, and usability of the data.
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Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.
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A minimum of 5+ years of hands-on experience in building, designing, and maintaining enterprise security tools such as SIEM, SOAR, Log Data Management, etc. A minimum of 5+ years of hands-on experience in building, designing, and maintaining enterprise security tools such as SIEM and SOAR.
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Apply to be a Machine Learning Engineer on the Numbers Station team. Numbers Station is born out of years of research at Stanford University and our technology already powers assistants and search engines at top tech companies.
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Configure and manage data warehouse tools, such as Elasticsearch, to support efficient search and analytics capabilities. Hands-on experience with SQL Server Reporting Services (SSRS) for report development and deployment.
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Perform analysis, design, hands-on development, and delivery of web-based applications and Web UI design using expertise in SharePoint Technologies (SharePoint Services 3.0 or newer, SharePoint Server 2010/2013/2016 (or newer), InfoPath, Forms Services, Excel Services, Enterprise Search, SharePoint Framework web parts, Business Data Catalog, Web Services, SQL, Javascript, and JQuery.
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