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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Master's degree in computer science, computer information systems, computer information technology, computer engineering, or computer-based information systems or related field(s). Demonstrated ability to develop and implement instructional approaches such as service learning/civic engagement, learning communities, and the effective use of technology.
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IRISNDT is a tech-enabled value-adding service provider of Non-destructive Testing (NDT), Advanced NDT, Inspection, Asset Integrity Engineering, Software, and Specialized Mechanical Services to the chemical and petrochemical, refining, renewables, power, mining and other diverse end markets in the USA, Canada, the United Kingdon, and Australia.
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Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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Our client is a distinguished civil engineering firm, is seeking an enthusiastic and dedicated Civil Engineer to join our Water District team. Utilize computer-assisted engineering and design tools to prepare high-quality engineering and design documents.
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Proficiency in software: Revit, Autocad, MS Excel, and Word. Additional Information Relocation assistance is offered for candidates within the domestic US Sponsorship is not available for this opportunity now or in the future About AECOM AECOM is proud to offer a comprehensive benefits program to meet the diverse needs of our employees.
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Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop. Experience in Supervised and Unsupervised Machine Learning including classification, forecasting, anomaly detection, pattern recognition using variety of techniques such as decision trees, regressions, ensemble methods and boosting algorithms.
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The individual will work closely with the data and machine learning specialists, software engineers and commercial teams to deliver machine learning models and applications.
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3 years industrial experience in Machine Learning, Artificial Intelligence AI/ML, Deep Learning, Cloud Computing, Applications Development, Cybersecurity, IT, Computer Science, System Support, Databases/Fulfillment, Storage, Electrical Systems, Software Design/Development, Programming or Robotics required.
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Demonstrating knowledge of descriptive analytics, predictive analytics, machine learning principles, Artificial Intelligence (AI), robotic process automation (RPA), project management, software and solution implementation methodologies.
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As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions , you will work with a cross-functional team whose objective is to deliver solutions that drive business value for Dow. In this role, you will work closely with data engineers, data scientists, domain experts, and software engineers to design, develop, and deploy machine learning systems, including training and inference pipelines on the Azure Databricks platform.
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Strong experience with distance education and distance learning students is preferred. Understands and practices the difference between "doing it for" the student and "supporting the student" during the learning experience.
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Education: A higher education degree (MSc level) in fields such as economics, engineering, mathematics, computer science, statistics, applied physics, meteorology, or equivalent. Statistical Background: Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data (preferred, but not required.
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The role requires JD and admission to the USPTO. Duties:Conducting patent prosecution in the areas of electrical engineering, computer science, software-related technologies, data science, AI, networking technologies (especially network security), machine learning, artificial intelligence, and hardware security.
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Bachelor’s, Master’s degree, or Ph. D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc. Required Skills & Experience 2+ years of professional experience as a Machine Learning Engineer, AI Engineer, Applied Scientist, or similar role.
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software engineering machine learning applied mathematics jobs Title: software in Houston, TX
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