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You'll be part of a large community of machine learning engineers across the firm and collaborate with analysts, data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to real-world problems, processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences.
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IaC familiarity, knowledge of AWS service, data migration familiarity Python, ETL, JavaScript, relational database. Multiple positions are open DevOps/Automation Engineers, ETL/Big Data, AWS Cloud Developer/Architect.
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Cherokee Federal is a division of Cherokee Nation Businesses, the economic engine of Cherokee Nation, the largest Native American tribe in the U.S. As a trusted partner, the Cherokee Federal team of companies manages nearly 2,000 projects of all sizes across the construction, engineering and manufacturing and mission solutions portfolios — ranging from advanced data analytics and telehealth to cybersecurity, cloud and logistics.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python) and skill in at least one mid-level language (e.g. C.
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HII-Mission Technologies Division is seeking a Data Scientist professional to join our Cyber and Intelligence team! Data Processing (Data management and curation, data description and visualization, workflow and reproducibility.
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GES is supporting an extensive digital modernization program critical to DISA and Fourth Estate Agencies and is currently seeking a Power BI Data Analyst to support our customer at Ft. Meade, MD; however, this position can be remote.
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Analyze SIGINT and cybersecurity data at multiple levels up and down the OSI network stack and bring a solid understanding of logical/physical IP core infrastructure, communication devices and how they connect to networks, and the traffic movements in a network.
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Utilize Machine Learning to create innovative tools like recommendation engines and automated lead scoring systems. Perform statistical analysis and data visualization using tools like Power BI, Tableau, R, and Python.
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GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Identifies, triages, and reports events that occur to protect data, information systems, and infrastructure.
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Familiar with disciplines such as: computer science, artificial intelligence, reverse engineering, RF engineering, signal processing, military operations, information warfare, policy analysis, scaled agile framework, and system architecture.
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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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We are seeking experienced Senior SIGINT Instructors / Mentors to teach various National Cryptologic University (NCU) curricula including NETA, GISA, ANSK, RPTG and Data Science courses in the following locations: FT Meade, MD; Augusta, GA; San Antonio, TX; Honolulu, HI.
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The Software Engineer (SWE) is responsible for developing, maintaining, and enhancing complex and diverse software systems, such as processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems.
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RPM Packaging (spec) VMware/KVM Infrastructure/Hardware Knowledge Networking Docker/Podman Structured data such as JSON/YAML/XM. With over 53 years of experience, we specialize in delivering comprehensive cyber, data collection and analytics, enterprise IT, systems engineering, and software application development solutions that support national and homeland security.
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Architect solutions to complex Cloud Software Engineering problems, such as efficiently processing and retrieving large amounts of data. Experience with Cloud and Distributed Computing Information Retrieval technologies like HDFS, HBASE, Apache Lucene, Apache Solr, MongoDB.Ingesting, parsing, and analyzing disparate data sources and formats (XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro.
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machine learning data scientist processing jobs in Castine, ME
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