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Have experience applying signal processing, image processing, pattern recognition, machine learning, deep learning, or related techniques with respect to signal extraction from sensors.
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Have 3 or more years of experience applying signal processing, pattern recognition, machine learning, deep learning, or related techniques with respect to information extraction from electromagnetic systems.
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Our group's diverse expertise enables us to solve a wide range of radar, electronic warfare (EW), remote sensing, and signal processing problems for maritime missions. We are looking for a driven Signal Processing Engineer to join us in pushing boundaries in digital signal and image processing to enhance electromagnetic system capabilities in government and military maritime systems.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. js, Vue.js, Angular, etc.
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Experience working with large data sets using big data processing frameworks (e.g. Azure Data Lake, HDFS/Hadoop, Spark or other cluster computing/MapReduce frameworks) and/or public cloud infrastructure (Azure, AWS, Google Cloud) for building, evaluating, or deploying machine learning or NLP models is a plus.
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Engage in cutting-edge projects spanning scientific data archives, environmental science systems, 5G wireless solutions, and advanced IT solutions rooted in Big Data, Artificial Intelligence, and Machine Learning.
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Our group provides break-through AI solutions within legal, tax and government domains partnering with product managers, software engineers and subject matter experts using Natural language processing (NLP), Information extraction (IE) and Machine Learning (ML) techniques.
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Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers mission to defend against evolving threats around the world.
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Experience with data science, machine learning, and/or artificial intelligence. Leidos is hiring for a Cyber Research Scientist / Tech Lead in Columbia, MD. You will serve on a mission-critical project that will leverage your skills to ensure delivery of a premier Security Operations Center (SOC) prototype solution to the customer.
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Experience with SOAR, Robotic Process Automation (RPA), or Cyber Threat Intelligence products or concepts. Experience with cybersecurity data from SIEM, Endpoint, Network, Threat Intelligence. Experience with containerized microservices architecture on Kubernetes, Docker.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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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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3+ years of experience leveraging analytics to measure marketing effectiveness with a focus on measurement and attribution Machine learning based attribution or television attribution preferred Experience working with and measuring TV, digital media, and CRM data Deep knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (Naïve Bayes, Markov Chain, Random Forest etc.
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Experienced researcher and team member who is excited to work with mission partners to leverage cutting-edge data science and machine learning research for immediate impact. While this position is ideally suited for a senior data scientist or machine learning researcher, individuals who feel they meet most of the requirements are encouraged to apply to work with our team leaders and have meaningful impact on our nation’s safety and security.
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machine learning jobs in Columbia, MD
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