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Experience with data science, machine learning, and/or artificial intelligence. 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.
$118,300 - $213,850 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Physics-based Simulation and Machine Learning Engineer will work both individually and in concert with other engineers, subject-matter experts, and program management to develop suitable modeling strategies that can be used for advanced process control and decision making.
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The Senior Machine Learning Engineer will serve as a key technical leader, driving the design, development, and deployment of advanced machine learning applications. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
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At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet.
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As a Senior Associate in our Risk Analytics and Modeling team, you'll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Foster a culture of learning and innovation. Cultivates Csuite relationships with global cloud service providers (CSPs), digital services/SaaS providers, enterprise, cloud and public sector customers, independent software vendors (ISVs), system integrators (SIs), and managed service provider (MSP) partners to maximize utilization of Company product capabilities.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Support social-emotional learning skill development through targeted curricula, assessments, and more intensive behavior support as needed. Data-driven, evidence-based learning and instructional models, including SESI’s own positive behavioral interventions and support (PBIS) framework called CASE.Competitive salary of $60,000-65,000 based on experience and credentialsAn attractive and robust suite of benefits, including comprehensive healthcare benefits, 401(k) with employer match, employee assistance program, mental health support, fertility and family building, and more.
$60,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Pure DevOps role performing network authentication, visualization, machine learning, some coding and more. GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization.
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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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Information technology, machine learning, malware, matlab, processor, robotics, software. Knowledge of Artificial Intelligence and Machine Learning concepts. Minimum Qualifications: Bachelor s in Computer Engineering, Computer Science, or Electrical Engineering with 8 to 12 years of relevant work experience focused on low-level development and CNO. Experience in system-level programming or development of embedded systems.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Experience in learning new approaches, coding languages, and Meta specific solutions.
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We're looking for candidates who are passionate about exploring cutting-edge literature and technologies in machine learning, analytics, and data engineering to enhance our transactional systems excellence.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Integrate Databricks with other data tools and platforms, such as data warehouses, business intelligence tools, and machine learning frameworks. Master's degree preferred with emphasis on data science, data analytics engineering, and machine learning/AI.
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machine learning jobs Company: Leidos Holding in Columbia, NJ, Pennsylvania
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