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Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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We are looking for someone who can design, code, and execute in both cloud and on prem environments - while evangelizing the opportunities of good engineering design, modern integration architectures and data as a service.
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As part of the Data Engineering team, the Lead Python Data 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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We support modern platform implementations, digital transformations, end-to-end IT delivery, omni-channel standardization, cloud-based data management, and predictive data analytics.
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Support third-party risk management initiatives regarding AI use and data protection. Conduct control testing examinations to ensure compliance with GenAI, Model, and Data Classification/Handling policies.
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ABOUT THE JOB The Global Design Engineering Manager is responsible for the leadership and functional management of a globally located team of design and drafting engineers who design fluid film bearings for a range of rotating machinery applications in the oil & gas, power generation, wind, and industrial markets in a matrix-based multi-functional organizational structure.
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May be asked to participate in non-design engineering activities such as surveying, CADD production, and field data collection. Masters or Ph. D. Degree in Civil Engineering, Urban Planning, Transportation Planning, or related field from an accredited university.
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Requirements: Preferred qualifications include teaching/research experience in one or more of the following areas: Healthcare, Supply Chain Management, Analytics, or Artificial Intelligence.
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We have an exciting opportunity for a Engineering Technologist to join our JETS II contract team at NASA Johnson Space Center in Houston, TX. Knowledge of commonly used concepts, practices, and procedures in the space hardware field including interpreting engineering drawings and sketches, JSC Electronic Document System and software and tools.
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Have six to eight years of experience in Data Science, Artificial Intelligence, and other related advanced analytics implementations for financial systems. Digital Implementation Division is responsible for providing program management services for implementation, rollout and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA) and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC.
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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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Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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Experience in working with data classification and protection, server & endpoint security platforms (e.g. AV, encryption, HIPS), enterprise security event log management, OS/platform security standards, vulnerability management, and data loss prevention.
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Bachelor’s degree in mechanical, chemical, or petroleum engineering. Act as the primary engineering support for midstream operations. 3-5 years; minimum of 5 years of engineering, construction, and project management experience.
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Proficient in using database and engineering software, including Aries, WellView, Harmony, Spotfire, MS Access and Excel; Mosaic experience a plus. 8+ Yrs Reservoir Engineering Technician/Analyst experience with E&P Company.
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modern data engineering artificial intelligence jobs Company: Publicis Sapient in Houston, TX
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