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Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.
$97,258 - $131,584 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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We are seeking a skilled Machine Learning Engineer to join our dynamic team at Equifax Workforce Solutions. Machine learning implementation and project experience using cloud platforms (Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.
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Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. This role offers the opportunity to be at the forefront of developing our machine learning platform.
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Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The machine shop is clean, quiet, and extremely organized with air conditioning. + You'll be part of a dedicated team, working in a state-of-the-art, clean, quiet, and organized machine shop.
$32 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions. Develop and optimize machine learning algorithms and models using Python, with a focus on performance and scalability, working very closely with the Data Scientists.
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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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Emerging Technologies Group: Covers a wide range of work, including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning, and quantum computing.
$60,000 - $72,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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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GXP commercial software, GXP Xplorer, GXP WebView, GXP Fusion, SOCET GXP, GXP InMotion, and SOCET SET provide customers with comprehensive image and video analysis, data management and geospatial production capabilities, and state-of-the-art sensor-data processing and analytics technologies, providing compact and scalable solutions to challenging problems in areas of video analytics, sensor data processing, computer vision, and machine learning.
$102,200 - $173,700 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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API Development & Deployment: Develop and implement APIs using Flask, FastAPI to deploy machine learning models and integrate them into existing systems or applications. Five or more years of industry experience in data science with a focus on data analytics, machine learning, and deep learning.
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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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Faculty research interests include algorithms and theory, AI and machine learning, bioinformatics, cyber-physical systems, computer networks, computer science education, computer vision and image processing, computational topology, data science, high performance computing, human computer interaction, open-source software, robotics and remote sensing, security and privacy, and software engineering.
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Hands on experience developing HTTP APIs (Open API, REST, gRPC, and/or GraphQL) Experience with processing UAV (drone) or satellite imagery for modeling and analysis Experience with cloud-based machine learning platforms (i.e. AWS SageMaker , Vertex AI, etc.
$80 - $110 an hourExpandApply NowActive JobUpdated Today
deployment machine learning jobs Title: platform engineer Company: Baird in St Louis, MO
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