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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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The ideal candidate will have a strong background in machine learning, data science and software engineering. Machine learning implementation and project experience using cloud platforms (Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.
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Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree. Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients.
$97,258 - $131,584 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques and NGA digital data formats. Ability to analyze imagery and non-imagery source information for application to NGA hydrographic products and databases.
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Extracting features from a variety of sources including but not necessarily limited to rasterized nautical charts, digital hydrographic survey data and ortho-rectified imagery. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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JOB DESCRIPTION Job Description BAE Systems is seeking a skilled geospatial open-source analyst to perform tipping and cueing activities in support of a government customer. Required Education, Experience, & Skills 3+ years’ experience in open source research, geospatial analysis, or similar role.
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The Geospatial Analyst job title also covers such subtitles as Data Collector, Source Packager, and Product Delivery Specialist. The geospatial analyst is a flexible role that relies on understanding of basic geospatial concepts of projection, elevation, attribution, and works in conjunction with source materials to update and/or creating new geospatial feature data sets, maps and charts, submitting work through the QA/QC process along a wide variety of mission areas and geographic settings, while meeting deadlines in a high-tempo environment.
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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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This will include data strategy, data lineage, data warehousing and storage, cloud architecture storage, optimization, Spark, Hive, Scala, Big Data, and a deep understanding of how data is stored and accessed in a modern environment.
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Responsibilities The Geospatial Analyst job title also covers such subtitles as Data Collector, Source Packager, and Product Delivery Specialist. The Geospatial Analyst role requires applyig geospatial knowledge to a variety of data types, whether it be through data collection, manipulation, verification, attribution, conflation, or foundational applications.
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Highlights include the world renown St. Louis Arch, the St. Louis Symphony, Fox Theater, Art Museum, Science Center, Missouri Botanical Gardens and one of the best zoos in the country. St. Louis is a big-league city where the best fans in baseball cheer on the 11-time World Series champions – the St. Louis Cardinals – along with the 2019 Stanley Cup winning NHL St. Louis Blues.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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machine learning open source big data science jobs Company: Walmart in St Louis, MO
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