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Collaborate closely with other engineering guilds to integrate machine learning components into larger software systems and develop end-to-end solutions. Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer.
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As a Site Reliability Engineer within this team, you will assist in providing software engineering services to a forecasting system owned by the Department of Treasury's Bureau of the Fiscal Service.
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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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BS in Mechanical, Electrical or Architectural Engineering from an ABET accredited university is required. Experience in combined heat and power/cogeneration, central utility plants, data centers, healthcare facilities, laboratories, water/wastewater facilities, controls, building envelope, TAB, NETA electrical testing, renewable energy and other specialties a plus.
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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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Programming: You are proficient in Python or other high level programming language with experience in using geospatial and machine learning libraries (eg., OpenCV, TensorFlow, PyTorch etc.
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As a geological engineer, selected applicants will take part in providing local geotechnical and/or environmental engineering assistance for due diligence, investigation, remediation, impact assessment, permitting, improvement, and construction of infrastructure projects and systems in the public and private sector.
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The Boeing Company is currently seeking a Data Analytics Software Engineering Manager to join the Next Generation Product Support team located in preferred locations: Hazelwood, MO, Oklahoma City, OK, Plano, TX. This position will focus on supporting the Boeing Global Services (BGS) business organization.
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As a Contract Site Reliability Engineer you will report to a Manager and be part of a team that provides software engineering services to a forecasting system owned by the client This role will assist with designing and enhancing existing infrastructure solutions by leveraging experience to help set cloud technology direction.
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Education/Experience: Bachelor’s degree (B.S) in Engineering or equivalent from four-year college or university; 5 years related experience and/or training including boiler operating experience, experience with Waste Heat Recovery Generators, as a Power Plant Engineer, or Stationary Engineer License.
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Fabricate, maintain, modify, & install various forms of tooling, such as production assembly jigs, engineering test fixtures, fabrication equipment, etc. Experience working with laser trackers or a CMM (coordinate measurement machine.
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CCI's experienced and trained team of over 100 professionals consist of fire protection engineers, architects, civil/mechanical/electrical engineers, code officials, members of the fire service, and technicians.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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To always review instructions from dispatchers and yardmasters, and discuss with locomotive engineer and train crew; To effectively understand and review instructions and effectively communicate these instructions with locomotive engineer and train crew.
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The machine shop is clean, quiet, and extremely organized with air conditioning. You'll be part of a dedicated team, working in a state-of-the-art, clean, quiet, and organized machine shop.
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machine learning software engineer electrical engineering jobs Title: frontend software engineer in St Louis, MO
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