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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. Geospatial tools, Big Data and Graph Products (Hadoop, MapReduce, Spark, ElasticSearch, Neo4j), Linux, OpenStack, AWS, Ansible, SQL/NoSQL, Text Processing, Cloud Services, Containerization, Infrastructure as Code (IAC), and more.
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The College stands out for its leading research in areas such as artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, community-based healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational biomedicine, advanced materials and manufacturing, sustainable infrastructure, and more.
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Demonstrated subject matter expertise in one or more technical fields relevant to Enterprise Data Management, such as Databases, Data Engineering, Data Science, Data Mesh, Data Fabric, Feature Engineering, Data Quality, Data Governance and Metadata Management, Data Catalogs, and Data Privacy and Security.
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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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Demonstrated experience with Hadoop infrastructure and applications (HDFS, Hue, Impala, Oozie, Solr, Spark, Yarn, Zookeeper) a plus. Support virtual and physical infrastructure of servers running CentOS in a dev, test, and production configuration, and support an infrastructure of different applications comprising of end user applications, developer tools and infrastructure support applications.
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SAIC s National Intelligence Community (NIC) Business Unit, USG Mission and Information Technology Division, provides solutions and services supporting digital modernization programs in areas such as systems engineering, multi-cloud computing, cybersecurity, data science and analytics, artificial intelligence and machine learning, quantum computing, application development, DevSecOps, cloud network operations, and secure communications.
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Job Description Strategic ACI is seeking a Senior Software Architect to assist in leading the design and development of software solutions for complex applications problems, API design, data services, platform services, cloud services and infrastructure services to meet user requirements and align to strategic goals and the Enterprise Architecture.
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3+ years of experience with Infrastructure as Code (IaC), Terraform, & Ansible. By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employers data processor SonicJobs.
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Strategic ACI is seeking an Expert-level Systems Architect to assist in leading the design and development of solutions for complex applications problems, API design, data services, platform services, cloud services and infrastructure services to meet user requirements and align to strategic goals and the Enterprise Architecture.
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Develop data science solutions based on tools and cloud computing infrastructure. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
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Experience with data visualization concepts and tools. Bachelor's degree in computer science, mathematics, physics, statistics, or related field. Advanced degree in in computer science, mathematics, physics, statistics, or related field.
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Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis. Experience with cloud computing infrastructure. Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
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Experience with at least one modern Big Data (e.g., Hbase), ETL (e.g., Apache NiFi), or Data Science (e.g., MapReduce) technology. Manage other components of our data infrastructure, such as Apache Kafka, as required.
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Machine Learning Engineer. Hybrid (2-3 days a week) and open to remote (must live in the US) Experience with Natural Language Processing. Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
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We are in search of a Capture Manager to join our Science & Infrastructure Operations (SIO) Business Development Team. As a core member of the SIO Business Development/Capture team, you will play a valuable part managing multiple pursuits to ensure excellence in delivery of full life cycle capture activities that includes development of solutions through our Corporate Capture Management Process.
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infrastructure data science jobs in Herndon, VA
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