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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.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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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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Buckeye Partners is currently seeking an Electrical & Instrumentation Engineer II, with experience in design engineering in the pipeline and terminals business, chemicals industry, or other process industries to join our growing team.
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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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Experience in Natural Gas Industry including the engineering, design, fabrication, commissioning of mechanical equipment used in petro-chemical or natural gas industries is desired.
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Built on 50 years of experience handling large scale complex projects; Dashiell is unique in that we are a turnkey Engineering, Construction, and Testing company that specializes in medium and high voltage electrical infrastructure.
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Our teams are currently hiring for a broad range of experience levels including: Senior and/or Principal Electrical Engineer. Boeing Defense, Space & Security (BDS) Safety,Certification and Airworthiness (SCAW) is currently looking for a senior or principal Electrical Engineering Unit Member (E-UM) / FAA Designated Engineering Representative (DER) to support teams based out of El Segundo, CA, Huntington Beach, CA, Mesa, AZ, Berkeley, MO, Houston, TX, San Antonio, TX, Huntsville, AL, Ridley Park, PA and/or Oklahoma City, OK.
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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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You are meant for this job if: Bachelor's degree in Engineering; BS degree in Electrical or Computer Engineering or equivalent preferred. This equipment includes but is not limited to: Subsea Communication Modules (SCMs), Subsea Power and Communication Units (SPCUs and SPCTUs), Electrical Power Unit (EPUs), Master Control Station (MCS), Electronic Test Unit (ETU), SmartTool 150 and 200e, and Hydraulic Power Units (HPUs.
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A Bachelor's degree in Electrical Engineering is preferred Must be able to work in a small team environment and be able to communicate across multiple departments Manage multiple projects simultaneously Read and interpret electrical drawings, schematics, P&ID's, etc.
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Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop. Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.
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Experience in sales, sales support, engineering, project management, process operations or technical service role within refining, petrochemical and gas processing industry. We have an immediate opening for a Principal Technical Sales Engineer (TSE) in the Honeywell UOP’s Modular Equipment Technical Sales team.
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Must have 10 Years of experience in Major Projects environment with direct work experience in engineering or project management of natural gas or hazardous liquid pipeline or facility projects including high-pressure gas and liquid transmission, metering, compression, pump station, storage, truck loading terminals, gathering, treating, and processing.
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Proficient in Python, machine learning libraries & frameworks (TensorFlow, PyTorch, scikit-learn) Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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However a minimum of seven years commensurate experience with emphasis in natural gas or petroleum pipeline design, project management, construction, maintenance, and repair may be acceptable in lieu of an engineering degree.
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machine learning natural language processing engineer electrical engineering jobs Title: machine learning engineer in Houston, TX
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