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8+ years of experience in developing business applications for Machine Learning and Data Science workloads. 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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Deep understanding of deep learning architecture, machine learning, natural language processing (NLP), and generative models. Design and develop solutions that utilize generative AI, leveraging Machine Learning (ML) and Large Language Models (LLM), tailored to business needs.
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Publicis Sapient is looking for an Endur ETRM Solution Architect to support the translation and construction of our clients' business problems into creative technology solutions during this exciting time of growth for the energy and commodities sector.
$129,000 - $252,000 a yearExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Buckeye Partners is currently seeking Solution Architect, Enterprise Information Management with experience in Leverage analytics to solve the business’ toughest and emerging challenges with a strong emphasis on data-driven decision.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
$260,500 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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The US Natural Gas Pipeline Projects Engineering team has a career opportunity available for an experienced Instrumentation and Electrical Engineer. Reporting to the Manager, this position is responsible for providing electrical engineering analysis and support to the US Natural Gas Pipeline sustainability and natural gas growth projects, and their stakeholders.
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Have a solid understanding of the D365 F&O technology stack and the peripheral technologies that can be leveraged including, but not limited to, Azure, Azure SQL, Power BI, Common Data Service, Power Apps, Azure Logic Apps, Azure Machine Learning, etc.
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We are looking for a Senior Data Scientist to help drive actionable insights using artificial intelligence and machine learning algorithms. 9+ years of relevant experience conducting text mining, NLP, machine learning, deep learning, artificial intelligence techniques-based models.
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AWS Certification (AWS Solution Architect Associate, AWS Developer, AWS DevOps) Bachelor's degree preferably in Computer Science, Engineering, Management Information Systems or equivalent work experience.
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Education Preferred: Master's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Bachelor’s degree or higher in Environmental Studies, Planning, Geography, Civil or Environmental Engineering, Geology, or related natural resources science field of study. This is an excellent opportunity for an environmental professional looking to advance their career with a global environmental leader and expand ERM’s team in the natural gas and LNG capital project delivery service line, with opportunities to support hydrogen, renewables, and carbon sequestration facility projects.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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The Sr. Back Office Analyst will be responsible for a variety of activities related to physical and financial natural gas trading, including settlement of natural gas commodity invoices, natural gas pipeline and exchange statements, payment processing, reconciliations, trade confirmations, and reconciliation of data to ETRM system.
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Public cloud, artificial intelligence, machine learning, mobile, Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture Experience of Atlassian Suite (Jira, Confluence, Atlas, Jira Align, In-depth knowledge Amazon Web Services, Google Cloud Platform, or Microsoft Azure secure architecture experience Preferred qualifications, capabilities, and skills CEH, LPT, OSCP, GPEN, GXPN, and/or CompTIA PenTest.
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AWS certifications (, AWS Certified Solutions Architect, AWS Certified Data Analytics – Specialty), demonstrating a deep understanding of AWS cloud services and best practices. Data Engineering ManagerIntePros is searching for a dynamic Data Engineering Manager to join one of our local oil & gas clients here in Denver.
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