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Demonstrate deep knowledge of data integration principles ETL best practices and data governance frameworks with familiarity in machine learning concepts and data preparation techniques.
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Technical Proficiency: Expertise in Python, machine learning tools (Hadoop, TensorFlow, Apache Spark), and deep learning frameworks. Your innovative approach will harness machine learning and artificial intelligence to deliver impactful solutions, enabling customers to make informed, data-driven decisions through prototypes and scalable production systems.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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To enable this, The Aerospace Corporation is focusing on critical technologies such as artificial intelligence, machine learning, photonics, optical communications, additive manufacturing, electric propulsion, as well as new tools in modeling, simulation, cloud computing, and digital engineering.
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Full Stack Development experience, including experience with Python, Django web applications, REACT web applications or other Javascript frameworks, RESTful API architecture, and incorporating machine learning models into web apps.
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Strong proficiency in programming languages like Python, R, or SQL.Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Develop and implement machine learning models for tasks such as prediction, classification, and clustering.
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TS/SCI with Poly Required - BS Degree (Technical) Basic Requirements: Experience with Web UI/UX design and development Ability to create and integrate with APIs Solutions Architect Associate certification or other Associate certification (In Progress acceptable) Preferred Qualifications: Basic understanding of Machine Learning pipelines Familiarity with data stores or databases Experience working with software development projects with low to high deployments.
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Collect and analyze data using statistical and Artificial Intelligence /machine learning algorithmsSupervise and assist undergraduate students working on research projects and act as a liaison/mediator between undergraduate students and the faculty researcher.
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Pearson VUE is a business of Pearson, the world's leading learning company with global-reach and market-leading businesses. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education.
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The Learning & Development Manager coordinates and manages the implementation of hotel trainings in line with brand and hotel policies and procedures. A Learning & Development Manager, serving Hilton Brands is always working on behalf of our Guests and working with other Team Members.
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Should have led AI/ML projects in current role and should have the experience in designing, developing, and implementing machine learning models and algorithms. You will iterate on improvement rapidly with a mindset for failing fast and learning continuously from data.
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Strong skills in PowerShell, PowerBI, Python, Scala, or R for data manipulation, analysis, and machine learning tasks. CGI's benefits include: Competitive compensation Comprehensive insurance options Matching contributions through the 401(k) plan and the share purchase plan Paid time off for vacation, holidays, and sick time Paid maternity and parental leave Learning opportunities and tuition assistance Member assistance and wellness programs Due to the nature of this government contract, US Citizenship is required.
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Wolters Kluwer Tax & Accounting North America is looking for a Sr. Field Sales Manager to join our Research & Learning team in a remote home office in the Northeast! As a Sr. Field Sales Manager for Wolters Kluwer Research & Learning, you will have primary responsibility for driving profitable sales growth in assigned accounting firms within a geographic territory that meets or exceeds sales goals.
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5+ years experience developing and deploying large-scale machine learning models and/or applications in production, including batch and real-time data processing, model containerization, CI/CD, REST or GraphQL APIs.
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2+ years of education or experience in at least one technical area related to next-generation wireless communications including 5G, 6G, ORAN, and LED satellites; advanced computing, including quantum, artificial intelligence/machine learning, and high performance computing; biotechnology, including neuroscience, human DNA forensics.
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machine learning jobs Company: The Realreal in Vienna, VA
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