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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. · Conduct Database activities such as database creation, management, testing, programming on database, data engineering, reverse data engineering, reporting, analytics, data migration etc based on project requirement.
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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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Role Data Architect with ETRM (Energy, Trading and Risk Management) - 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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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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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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Job Title: Analysts, Senior Data Engineering (Machine Learning Engineer) As a member of the Data Engineering team, the Machine Learning. 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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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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Hands on experience with data engineering tooling such as Databricks/Spark, Azure Data Factory. Strong understanding of data management practices – data engineering and pipeline development, warehousing, storage, lifecycle management, privacy, security etc.
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Data center construction and engineering. Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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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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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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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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Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, Etc. Experience with organizational adoption of transformational initiatives – Platform Engineering, DevOps, DevSecOps, Cloud Transformation, Application Modernization.
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Our worldwide experience and multi-disciplined capabilities encompass all aspects of the Engineering, Procurement, Construction Management, Field Inspection, GIS Integrity, Staffing Services and more.
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