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Ph. D. in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields. Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Relevant ExperienceExtensive experience with, both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/DatabricksStrong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniquesDeep understanding of artificial intelligence concepts, experience with AI frameworks and libraries such as TensorFlow or PyTorch is also valuable.
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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Collect, aggregate, and analyse structured/unstructured data from multiple internal and external sources, present patterns and insights, and scaling data for use in Machine Learning and Artificial Intelligence use cases.
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Graduate degree (Masters/PhD) in computer science, computer engineering, electrical engineering, mechanical engineering, aerospace engineering, or similar technical discipline with an emphasis on artificial intelligence and machine learning.
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You will stay connected with state-of-the-art NDT technologies, including artificial intelligence and automation. The NDT Level III will be responsible for ensuring business-wide quality NDT processes, including digital x-ray (DR), fluorescent penetrant inspection (FPI), and Computed Tomography (CT.
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Python, Shell Scripting, Linux-based operating systems, Machine learning and image processing applicationsThe essential requirements of the job include: Master’s degree in electrical/computer/biomedical engineering.
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Chief Artificial Intelligence Officer (CAIO)The Chief Artificial Intelligence Officer (CAIO) is a key member of the University of Miami Information Technology Leadership Team. The CAIO’s primary responsibility is to drive the strategic vision, development, and implementation of artificial intelligence (AI) initiatives across all three parts of our mission, Academics, Clinical Care and Research.
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Job DescriptionGen AI Solution Architect/Delivery Lead - Databricks-DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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With expertise in rapid prototyping, manufacturing, artificial intelligence/machine learning and autonomy, we transition advanced technologies and integrated systems to U.S. Government customers including all branches of the US military, DARPA and other research laboratories, and the Intelligence Community.
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We solve the toughest scientific and engineering problems for our customers and deliver high-technology, mission-critical services and solutions. Our engineers and scientists are modernizing the national defense strategy with hypersonic weapons, directed energy, and unmanned systems and exploring deep space with robotic and human technologies.
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Must work across multiple time zones as this is global function Key contacts Process Engineering, including existing machine vision development team, Operations and Quality team External Technology Development and Data Annotation Suppliers Qualifications MS or PhD in Computer Science, Engineering, Mathematics or Statistics, with specialization in computer vision and deep learning.
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You will also interface with Corporate Capture Operations and Excellence (CO&E) staff, Chief of Staff of the Growth EVP, and the Account Executives. Critical reports include weekly BD metrics reports, NBF reports, Monthly Operating Review Inputs, Board of Directors inputs, Closest to the Pin projections, weekly activity reports, Customer Relationship Assessment (CRA), Executive Leadership Team slides, Quarterly Business Review slides, and Forecast Business Reviews.
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In HBM DEG (High Bandwidth Memory - DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
$158,000 - $298,000 a yearExpandApply NowActive JobUpdated Today
machine learning artificial intelligence detail oriented jobs Title: engineering manager
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