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7+ years of experience in core AI techniques including NLP (Natural Language Processing), ML (Machine Learning) and Deep Learning. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots.
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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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AWS Certified Solutions Architect Associate certification is preferred but not required. AWS Certified Solutions Architect Associate certification (preferred). Experience with PaaS services like Databricks, Data Factory, and Data Lake.
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Utilize 3D modeling and data visualization software to update airframe 3D models and complete data processing on fleet maintenance findings. Locate hotspot structural locations using in-service fleet maintenance data and provide technical reports to customers.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Capitalize on the existing and developing landscape of software resources and platforms for prospect identification, constituent data collection, gift processing, gift documentation and reporting.
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As part of our Data Governance, Quality and Operations team, you’ll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.
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The Data Specialist - Foundation, Sr. will support fundraising, and achieve operational efficiencies in gift processing, data management, and donor services using Raiser's Edge, Luminate Online, ImportOmatic, and other related vendor systems.
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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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Strong attention to detail is essential; knowledge of best practices related to constituent records management, data entry, and gift processing is preferred. Pull and provide data and reporting when requested by Philanthropy Database Manager, Finance and Operations teams.
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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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Saint Louis University, a Catholic, Jesuit institution dedicated to student learning, research, healthcare, and service is recruiting applicants for a full-time position in the Division of Maternal Fetal Medicine, Department of Obstetrics, Gynecology and Women's Health.
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Manage and optimize Apache Spark pools for high-performance data processing tasks. Works in tandem with business analysts, data architect and data/BI engineers to design data pipelines and recommends ongoing optimization of data storage, data ingestion, data quality and orchestration.
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Knowledge of digital cartography, image processing, geographical information systems (GIS), geospatial production techniques, and NGA digital data formats. Knowledge of geospatial analysis software suites (GIS commercial software packages such as ArcGIS, ERDAS & SocetSet GXP, including common office software to include spreadsheets and word processing) used by NGA to accomplish its mission.
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C#, java, lead, programming, project architect, senior software developer, senior software engineer. Opportunity for a paid internship or a project-based learning experience. c#, java, lead, programming, project architect, senior software developer, senior software engineer.
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machine learning data governance processing database architect jobs Title: data engineer in St Louis, MO
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