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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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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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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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Applying techniques across one or more machine learning models including: multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge.
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Apply data mining, machine learning, and statistical analysis on data to create predictive and descriptive models. GovCIO is currently hiring for a Data Scientist with a strong Data Engineering background to design, develop, and maintain our data infrastructure on AWS, and to create descriptive and predictive models that impact productivity, decision-making, and provide strategic mission impact.
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Working knowledge of State and Federal developmental and environmental laws and local municipal planning and zoning requirements, civil engineering, land planning, and city/county. BS degree in Land Planning, Engineering, or Environmental Science preferred.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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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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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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Experience with machine learning, algorithm analysis, and data clustering. The Python scripts will use supervised and unsupervised ML (both text and image-based machine learning), natural language processing (named entity extraction, summarization, etc.
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We are seeking expertise in the following areas - candidates with wider skill range will have advantage: Cloud, Exadata, Real Application Clusters, High Availability, Data Guard, Recovery, ZDLRA, Performance, Memory Management, Database and Query tuning, Storage, ASM, Golden Gate, Security, Networking, Enterprise Manager etc.
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Master's degree preferred with emphasis on data science, data analytics engineering, and machine learning/AI. Integrate Databricks with other data tools and platforms, such as data warehouses, business intelligence tools, and machine learning frameworks.
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Partner with Product and Data Solutions teams to design, build, and deliver machine learning models and components to address business challenges. Minimum of 5 years of experience in machine learning engineering or related roles, with experience mentoring junior developers and leading projects.
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Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. The software suite includes containerized React user interfaces, Java and Go microservices, a custom REST security, and various data stores including MongoDB and an OpenSearch cluster.
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machine learning data engineering jobs Company: Synergisticit in Columbia, MS, Pennsylvania
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