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Plains All American is an industry-leading transportation and midstream provider specializing in transportation, storage, processing and marketing solutions for crude oil and natural gas liquids (NGLs.
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Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc.
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At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles.
$73,000 - $220,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You also have opportunities to research and develop applications in applied artificial intelligence using computer vision, natural language processing (NLP) and large language models (LLM.
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The candidate should also have experience with multiple modern techniques and algorithms in machine learning and statistical computing such as regression, clustering/segmentation, time-series analysis, recommender systems, predictive analytics, Bayesian modeling, data fusion, supervised/unsupervised learning, decision trees, A/B testing, natural language processing.
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Strong computer skills including ability to use Microsoft software products and aptitude to learn proprietary natural gas scheduling systems and other applications quickly. The Scheduling Representative is the key point of contact for customer inquiries, analyzing and resolving issues regarding natural gas transportation scheduling, allocations, imbalances and performing daily processing activities.
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In-depth knowledge of machine learning algorithms (deep learning, natural language processing, computer vision, etc. Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience.
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Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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Develop and implement cutting-edge AI solutions using natural language processing (NLP), deep learning, large language models (LLM), and Gen AI. Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, Machine Learning, Artificial Intelligence, Cognitive Science or other quantitative fields or foreign equivalent.
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Domain experience in autonomous vehicles, robotics, natural language processing, wireless communications, computer vision or related AI fields is preferred. Seeking a registered Patent Attorney or Agent with a Bachelor's degree or graduate degree (MS/PhD) in Computer Science, Electrical Engineering, Data Science, Physics or related technical field involving AI/ML. Experience with AI models, neural networks, and deep learning is required.
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As the AI - Innovation, Delivery and Business Development Leader you will be responsible for helping to identify, advocate, and execute Deloitte's interests across consumer-focused organizations, with a specific focus on novel approaches in Generative AI, natural language processing, computer vision for imaging & autonomous systems, smart factory, and other state-of-the-art capabilities.
$203,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud platforms (AWS, Azure, GCP) and/or on-premises infrastructure for AI deployments (a plus). Proven experience with leading AI frameworks (TensorFlow, PyTorch, etc.) and programming languages (Python, R.
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Norton Rose Fulbright is seeking a registered Patent Agent with a Bachelor’s degree or graduate degree (MS/PhD) in Computer Science, Electrical Engineering, Data Science, Physics or related technical field involving AI/ML to join the firm’s Patents practice.
$180,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have knowledge of refinery and natural gas processing plants and how filtration plays a very important role in the operation of those process systems, as well as knowledge of those filtration products.
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Industry knowledge: Natural gas processing, gathering, measurement and pipelines. 5+ years of experience Natural gas industry experience required. A degree in Computer Science or CIS/MIS is preferred.
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computer natural processing jobs in Houston, Beltsville, District Of Columbia
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