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Azure Artificial Intelligence and Machine Learning platforms - Microsoft Azure Machine Learning, Azure Cognitive Services. Expertise in Kubernetes, AKS, Azure DevOps, and Terraform.
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Computer engineering, electrical, machine learning, matlab, photonics, python, radar. 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods.
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Responsibilities include developing a program of data science focused on the use of machine-learning tools to integrate clinical and genomic data. The Northwestern campus sits on the traditional homelands of the people of the Council of Three Fires, the Ojibwe, Potawatomi, and Odawa as well as the Menominee, Miami and Ho-Chunk nations.
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Qualifications:Experience with designing solutions with a blend of low-code elements, pro-code enterprise elements, machine learning & AI cognitive services (for example, Power Platform, Azure App, Azure Cognitive Services & Azure Machine Learning)Fluency and Specialization with at least two modern languages such as Java, C.
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Experience as a business analyst in projects involving data analytics, artificial intelligence, machine learning and IoT is a plus, but not required. These include cloud-based mobility, data analytics and visualizations, artificial intelligence, and machine learning.
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As part of our tech transformation journey, we are building a presentation data layer which lays the foundation to get all the quality data for running machine learning models for Loss Forecasting.
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Our Engineering teams—spanning mechanical, firmware, machine learning and AI, cloud, and mobile technologies and more—reinvent access by combining hardware with cutting-edge, cloud-based solutions to create a safer, smarter customer experience.
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Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency.
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Demonstrated experience working with data science teams in consuming services and providing data pipelines to build machine learning models Requires a bachelor's degree in computer science, information systems or a related study or equivalent project-related experience.
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Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossusplatform. Hybrid roles entail working in-office from Tuesday to Thursday, with the choice to work remotely on Mondays and Fridays.
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This position is responsible for leading the development and enhancement of AI-driven products, utilizing skills in prompt engineering, NLP, and machine learning to deliver innovative solutions.
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Must have strong experience managing programs/projects related to data solutions - Data Warehousing (DW), Business Intelligence (BI), Analytics, Visualization and/or Machine Learning/Data Science field (warehouses, data management, analytics, visualization, data science, etc.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
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Electrical, electronic, electronic engineering, linux, machine learning, malware, optical, programming. We offer a growth and learning culture which encourages and supports employee development through a wide variety of tools and resources such as the company Learning Management System, Middough Learning Center.
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machine learning jobs in Bedford Park, IL
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