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What you will do (Level I): Operate computer software for production of 3D images and multiplanar reconstructions from CT and MRI datasets for optimal visualization of patient’s anatomic structures and pathology, using established 3D prost-processing protocols.
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About the Role: As a Machine Learning Engineer , you will: Design and develop machine learning models to solve complex problems in areas such as predictive analytics, NLP, and optimization.
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Learn cutting edge techniques of solar coronal imaging and spectroscopy; and prototype, develop, validate, and test software to carry out data processing and analysis of solar coronal observations.
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Experience with scientific computing software (eg: MATLAB) to evaluate analysis data, Experience in software or system modeling practices (eg: UML, SysML, DoDAF), Experience with simulation tools and visualization environments, including: SIMDIS, AFSIM, Simulink, STK, MaK Image Generation systems, Experience with gaming engines or related technologies, including Unreal / Unity / Creator / 3D Studio Max, 3D terrain and object modeling.
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Proven experience as a Full Stack Machine Learning Engineer or similar role. Integrate machine learning models with cloud-based platforms and/or embedded systems for deployment in production environments.
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Software Engineer II (Media Engineering) The Media Processing and Distribution (MPD) Core Media team develops the video encoding, packaging, and orchestration systems that power Disney’s video streaming platforms (Disney+, ESPN+, and Hulu.
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Familiarity with one or more of the following key skill areas: Signal Processing, Tracking, Sensor Fusion, Receivers (Digital and Analog), Synchronizer / Timing, logic design, computer architecture, Systems Engineering Processes, LabView, Software (Interface, Visualization.
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Multi craft Maintenance responsibilities includes but not be limited to equipment breakdowns, installation and startups, process improvements, preventative/precision maintenance programs and continuous improvements activities i.e. increasing machine reliability and installation of facility capital investments.
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Broad practical experience in security software in Mobile Device Management (MDM), Privileged Access Management (PAM), EDR applications, MacOS, iOS, Microsoft platforms, and VM environments, etc.
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To lay audiences Preferred skills: experience designing and maintaining RDBMS using PostgreSQL including the application of proper data modeling principles and database tuning at scale Preferred skills: experience with Linux operating system and with shell scripting (i.e., bash, PowerShell) Preferred skills: familiarity of advanced data analysis techniques (i.e., natural language processing, machine learning, etc.
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Ability to obtain and maintain a DOE Q-level security clearance. Familiarity working with mechanical design tools, such as CREO. Experience working with the National Nuclear Security Administration (NNSA), DOD customers, DOD contractors, Los Alamos National Laboratory, Kansas City National Security Campus (KCNSC), and Pantex.
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Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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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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Experience with Signal Intelligence (SIGINT), Digital Signal Processing (DSP) or DSP related software. Design, develop, test, deliver, and maintain software for (DSP) Digital Signal Processing applications.
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DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. The ability to obtain and maintain a TS/SCI U.S. government issued security clearance is also required.
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