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Essential Duties/Responsibilities: Teaching assignment may include the following areas: machine learning; exploratory data analysis; feature engineering; information security; cyber competitions; special/emerging topics; data mining and analysis; business intelligence, GIS, penetration testing; visual/link analysis; python, secure application development; database management systems; ethics.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs.
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G. Expertise in any of the following areas: high-entropy materials, disorder, phonons, magnetism, catalysis, machine learning/artificial intelligence, database/API development, aflow.org repositories.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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Our 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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The Data Scientist will join a team responsible for developing advanced analytics products; applying Machine Learning, Artificial Intelligence and statistical programming tools to enterprise data to advance and enable key mission outcomes.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Core Finance system implementation and optimization (e.g. ERP, EPM, etc) Finance strategy and transformation Shared service and outsourcing Cost management Talent management.
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Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques. Communicating outcomes to Client Protection senior management and executive stakeholders.
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Machine Learning Engineering - Dallas, TX (Hybrid) Optimize machine learning algorithms and infrastructure for performance, scalability, and cost-efficiency. Deploy machine learning models into production environments, ensuring scalability, reliability, and real-time performance.
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As a member of the Data Engineering team, the Machine Learning Engineer will work closely with Business domain experts and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics, machine learning, and artificial intelligence.
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PhD in one of the following fields: deep learning, artificial intelligence, machine learning, computer science, robotics, computer vision, computational neuroscience, signal processing, speech and language technologies, or related fields.
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As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications within The Friedkin Group of companies. Experience developing and deploying Machine Learning solutions on cloud platforms (e.g., AWS, Azure, or GCP.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Partners with machine learning engineers, BI, and solutions architects to develop technical architectures forstrategic enterprise projects and initiatives.
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Embed machine learning, artificial intelligence and GenAI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
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machine learning product management artificial intelligence jobs Title: senior manager Company: Oracle in Windsor-mill, Maryland
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