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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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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. · Develop data architecture and lead the delivery of end-to-end data, integration, reporting solution for Utilities Systems cloud and hybrid hosting.
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Role Data Architect with ETRM (Energy, Trading and Risk Management) - oil and gas company background will be a good fit. Design data migration, data quality solution.
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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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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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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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Baker Hughes Cordant Process Optimization solution is based on a novel approach that combines process domain knowledge along with advanced machine learning techniques. Experience with varied and complex industrial processes, preferably LNG, cryogenic processes, syngas and/or fertilizer industries, gas processing, refining and olefins.
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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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New Solutions: Provides technical expertise, application support, training, guidance, and written proposals that may include application products from Vendors such as Veritas, Commvault , EMC, IBM, Innovation Data Processing, Rocket, and other applications designed for data protection.
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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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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.
$55,200 - $291,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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In your role of Principal Solution Architect-GenAI in the AGS TAS organization you will. Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
$164,500 - $284,300 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands on experience with data engineering tooling such as Databricks/Spark, Azure Data Factory. In the US, we have operated for over a century and are a major oil and gas producer onshore and in the Gulf of Mexico, a recognized innovator in exploration and production technology, and a leading manufacturer and marketer of fuels, natural gas and petrochemicals.
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machine learning natural language processing data solution architect jobs in Houston, TX
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