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This work involves combining deep learning and data fusion techniques with petabytes of satellite imagery (radar and optical), and billions of GPS positions from vessels, mostly from the Automatic Identification System (AIS) and Vessel Monitoring Systems.
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Drive engagement and lead generation through targeted digital campaigns, email marketing, and search engine optimization (SEO) strategies. Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$184,000 - $248,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a highly skilled and motivated Senior Applied Machine Learning Engineer for our Federal Delivery team who is passionate about delivering value to US Federal Government clients with Generative AI. If you have experience harnessing data to deliver mission impact at enterprise scale, enjoy working with alongside product teams to iteratively improve capabilities, and thrive in client-facing technical environments, we would love to hear from you.
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You have familiarity with analytics like machine learning, natural language processing, or data visualization, particularly for creating tools that scale complex analytics workflows for less technical end users.
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Rescue Swimmer School (6 weeks) in Pensacola, FL, to learn search and rescue techniques. Combat Search and Rescue. Advanced Search and Rescue School. Search and Rescue. Class "A" Technical School (8-14 weeks) in Pensacola, FL, learning one of the Aircrew Ratings (AWF, AWO, AWS, AWR, AWV.
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Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
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Demonstrated on-the-job experience with large-scale data migration from Oracle on prem to AWS Cloud environment. 3+ years experience with Big Data technologies, such asApache Hadoop, Hive or Spark, Databricks and/or Snowflake.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Familiarity with streaming data processing, real-time analytics, and machine learning pipelines.
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Contribute to interdisciplinary solutions that combine data engineering and Artificial Intelligence/Machine Learning to integrate predictive models. A successful candidate should be able to demonstrate technical proficiency with these mentioned Machine Learning tools and have a proven track record engineering software solutions to process and analyze unstructured data sets.
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Safety Manager - Utility-Scale Solar Construction. This position is responsible for the overall safety of all employees and contractors working on utility-scale solar construction projects.
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Keywords: Sr Capture Manager, Business development, Program Manager, Leadership, Machine Learning, win, capture, proposals, Virginia IC, Intel Community, Intelligence Community, growth, cyber, developer, development, architecture, framework, Java Developer, Java Development, Software engineer, HPC, high performance computing, software tester, system integration engineer, systems engineer.
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The Data Scientist has familiarity with industry best practices for software/hardware optimization when processing large data sets and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics; experience with Hadoop, Spark, or other parallel storage/computing processes is a plus.
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