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Integrate empirical methods, hand calculations, vortex lattice codes, CFD, wind tunnel, and flight test data to analyze aerodynamic performance and stability & control Own the development of the vehicle cockpit simulator software and hardware.
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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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The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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Experience leveraging Esri's software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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Prior 3 year of technical operation experience for business-critical application(s) over public cloud (AWS specific is a big plus) services: VPC, subnets, network access control lists, security groups, EC2 instances, S3 buckets, IAM, Route 53, Lambda.
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Our customer provides strategic intelligence, warfighter support, indications and warning, safety of navigation, foundation data, humanitarian and disaster relief, special event planning, and homeland defense.
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Hands on Data Engineering experience as Data Analyst, Data Engineer or Tester. Significant agile project management experience, as well as strong fundamentals in advanced analytics, data integration, and visualization leading agile projects.
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Understand basics of Data Engineering work and contexts of the data product development, accordingly customize the approach/process/artifacts to meet the delivery need of the team. Basic understanding of the Data Engineering and how it adds value to the organization.
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Technical areas of interest include intelligence collection and analysis, big data solutions, Artificial Intelligence / Machine Learning (AI/ML), advanced analytics, space-based sensors, and Ubiquitous Technical Surveillance (UTS.
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Experience with e-learning development tools such as Oracle User Productivity Kit (UPK) Document the guided learning development process, including design decisions, best practices, and maintenance procedures.
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Insider Threat Analysts triage data of anomalous events collected by User Activity Monitoring (UAM) Tools, and other data analytics tools and sources to decipher underlying trends or uncover anomalies and discern obscure patterns and attributes.
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Experience with a big data environment / IDE, such as Databricks and/or Snowflake. Experience with marketing data architectures, such as CDPs (customer data platforms), digital log files (e.g. Adobe Analytics), and stimulus data (e.g. Google Campaign 360, aggregated agency data.
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Architectural understanding of M365 security constructs and data protections such as DLP, RMS/IRM, Azure Information Protection. Innovative Data Solutions (IDS) is a small business specializing in engineering and supporting mission critical IT infrastructure for the US Government Intelligence, Defense and Homeland Security communities.
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Hands-on experience configuring and implementing an enterprise integration architecture solution using OIC adapters (SOAP, REST, FTP, and other pre-built adapters) based on NFCU's data mapping requirement.
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big data learning jobs Title: machine learning engineer in Chantilly, VA
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