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You must have hands-on experience developing large-scale distributed, fault tolerant and scalable data processing systems capable of processing terabytes of structured and unstructured data via batch with Spark, or streaming with Flink or Kafka Streams.
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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The Sr. Back Office Analyst will be responsible for a variety of activities related to physical and financial natural gas trading, including settlement of natural gas commodity invoices, natural gas pipeline and exchange statements, payment processing, reconciliations, trade confirmations, and reconciliation of data to ETRM system.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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CUDA, Bash, and/or SQL), machine learning / deep learning methods, data analytics, and image analysis. Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Expert in one or more of the following: machine learning, generative AI, recommendation systems, network analysis, Natural language processing, Reinforcement learning, MLOps.
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Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems.
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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals.
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Versed in TensorFlow, PyTorch, scikit-learn, and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI). Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
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Associate's or Bachelor's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems, instructional technology, or business/computer related field (e.g., computer management, decision engineering, data processing.
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The JETS Space Environments team is seeking a Space Environments Engineer to provide systems engineering and multidisciplinary technical analysis/modeling support to the different NASA JSC programs.
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Bachelor’s, Master’s degree or PhD with good academic record within business, industrial economics, economics, finance, political science, law, shipping, logistics, innovation, chemistry, engineering, technical and process safety, naval architecture, marine technology, offshore technology, maritime law, energy management, data science and data management.
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Description & Requirements Maximus Federal, a leading provider of innovative business process management and technology solutions for the government customers worldwide, is seeking a highly experienced and dynamic Vice President, Solution Architect who is an accomplished technical leader, proactive customer-focused advocate, and a team player.
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Experience working with technologies relating to landfill derived renewable natural gas processing equipment (Compression equipment, membrane technology, PSA/TSA technology) to support CO2 removal, nitrogen rejection, oxygen scavenging and methane optimization.
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machine natural language processing data engineering solution architect jobs in Houston, TX
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