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The Opportunity As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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As part of a growing team this role will have the ability to leverage and work with new capabilities as they are deployed including deception infrastructure, continuous penetration testing, data loss prevention (DLP), and machine learning capabilities.
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Evaluate commercial and open-source techniques in Machine Learning, Data Mining, NLP, and Analytics. Master's degree in Computer Science, Statistics, or Mathematics required with emphasis on data mining, NLP, or machine learning.
$219,100 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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For example, if the selectee is located within the National Capital Region (, DC metro), they will be assigned to Quantico and relocate to the Redstone Arsenal in 2026. The selectee may be assigned to one of OTD's core sites, either Redstone Arsenal in Huntsville, Alabama or the Marine Base Quantico, in Quantico, Virginia.
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Keywords; Python, Azure, AWS, GCP, SSRS, SSIS, SQL Server, SQL, Scala, Mapping, Scientist, ML, Machine learning. Apply Continuous Integration/Continuous Delivery (CI/CD) and Machine Learning concepts to develop a standardized data environment.
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General Job Information Job SummaryThis Transportation Engineer position is located in the District Department of Transportation (DDOT), Project Delivery Administration, Traffic Engineering & Safety Division (TESD), and will work with the rapidly growing dynamic team of professionals in DDOT’s Traffic Engineering & Safety Division (TESD.
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Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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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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Applies engineering principles and practices in design, development, analysis, and release of projects including but not limited to: Conveyor design (conventional flat belt & modular plastic belt) Auxiliary equipment design (discharge chutes, control stations, operator & machine platforms, etc.
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Leidos is seeking an Artificial Intelligence (AI) Cybersecurity Researcher / Engineer to support the Department of Homeland Security (DHS) Office of the Chief Information Security Officer. Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role requires 8+ years of technical leadership helping engineering teams thriveExperience with one or more of these languages: Rust, Go, JavaExperience working with one of the major cloud providers (AWS, Azure, GCP)Experience operating containerized services (Kubernetes, Mesos/Marathon)Extensive experience in a SaaS environment, building and operating large-scale distributed systems.
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The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.) Experience with machine learning, algorithm analysis, and data clustering.
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As a CNC Machine Operator (also known as CNC Grinder, Tool Grinder), you'll be working in a fast-paced, high-speed environment. Proficiency in machine setups for production runs, blueprint reading, quality inspection, and shop math skills.
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machine learning engineer capital one jobs in Washington, Bar-harbor, Maine
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