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Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis. Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.
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U0026 -8+ years of experience in developing business applications for Machine Learning and Data Science workloads. u0026 You will work closely with data scientists, machine learning engineers, and other software engineers, using the latest tools and technologies to develop analytic solutions and integrate analytic models with existing business applications.
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Calpine Corporation is America's largest generator of electricity from natural gas and geothermal resources with operations in competitive power markets. Calpine’s modeling infrastructure including asset and contract models as well as repositories of fundamental market data.
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Data Architect with ETRM (Energy, Trading and Risk Management) Job : Data Architect with ETRM skills oil and gas company background will be a good fit. Role Description : Data Architect – 10 to 15 years of experience.
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Develop tools for subsurface data visualization and processing in expediting deep learning workflows. Develop code for enhancing subsurface data quality to improve deep learning performance.
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This position demands a blend of systems engineering, data integration, and data analytics skills to enhance TFG's data capabilities, supporting advanced analytics, machine learning projects, and real-time data processing needs.
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Utilize and integrate LLMs (e.g., GPT, BERT) for natural language processing (NLP) tasks such as sentiment analysis, market news analysis, and automated report generation to enhance trading decisions.
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Responds to immediate physician's needs; develops and implements permanent solution in conjunction with Service Team members and the Sterile Processing Manager/shift coordinator(s). The OR/Sterile Processing Liaison reports to the Sterile Processing Manager.
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Experience: Five years of experience in ontology, taxonomy, data science, data engineering, or machine learning. Exposure to data science and/or machine learning, including graph embeddings.
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Minimum 5 years of experience as project engineer and/or process engineer in natural gas gathering, compression, processing, fractionation, construction, and/or operations. 5-10 years of experience in natural gas gathering, compression, processing, fractionation, construction and/or operations.
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Validated experience in a similar role such as Solutions Architect, Technical Consultant, or Pre-sales Engineer, with hands-on experience with GenAI Search or equivalent technologies. Collaborate closely with the account team, including the Account Executive and the Solutions Architect (Pre-sales engineer), to provide ongoing technical coverage and support, while the account team focuses on identifying new deals.
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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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Document Student Learning Exposure and Outcomes Establish and maintain accurate data that empowers analysis of the support we provide to students, including attendance data, academic data, student forms, and inventory of educational materials and supplies.
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Drives improvements and upgrades within the information protection technical toolset, focusing on one or more of data protection and DLP technology, endpoint protection, cloud security, O365 Security, firewall, threat intel and vulnerability management.
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The company operates over 220 alternative fueling stations, specializing in clean fuel products such as Compressed Natural Gas (CNG), Renewable Natural Gas (RNG), Hydrogen Fuel, Renewable Diesel, Biodiesel and EV Fleet Charging.
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