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Knowledge of DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines Familiarity with the AWS cloud platform Previous experience in the deployment of machine learning models in production environments.
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Lead the design, configuration, and deployment of the Informatica MDM solution to. execute the deployment of the MDM solution and provide post-implementation. the Informatica MDM solution, implementing data profiling, cleansing, and.
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Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:The GCP Cloud Data & AI Practice Architect possesses 5+ years of experience developing and architecting with GCP solutions and 10+ years in the Machine Learning, Advanced Analytics, Data Engineering and Data Governance.
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Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areasStrong experience using modeling tools such as Python, SPSS, R, Matlab Demonstrated experience in the following: Uni and Multivariate Data Analysis, Application of predictive models, market segmentation and cluster analyses, time-series analysis, advanced regression modeling.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. Drive design and deployment of the data and analytics workloads in Azure and optimize consumption of the platform by providing architectural (including, design, implementation, and deployment) guidance, within the current framework/model, and provide appropriate recommendations to overcome blockers.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Extensive knowledge, application, and experience in creating and implementing recommendation systems, machine learning, NLP, statistics, and deep learning. We are using our big data coupled with machine learning and AI to help highlight the path forward.
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Experience with cloud computing platforms (e.g., AWS, Google Cloud Platform, Azure) and containerization technologies (e.g., Docker, Kubernetes) for deploying and scaling machine learning models.
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Equipment utilized may include, but is not limited to monitoring equipment, surgical instruments, cardiac output machine, pulse oximeter, ECG machine, intra-aortic balloon pump, AngioJet, etc.
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7+ years of experience in PC / laptop repair, troubleshooting, deployment, and decommissioning. The chosen candidate will engage in collaborative and independent work and travel to client locations for troubleshooting, equipment deployment, and site surveys as necessary.
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Specific licenses include but are not limited to: Registered Architect, Professional Engineer, Certified Energy Manager, BPI Building Analyst, HERS II Rater, HERS Building Performance Contractor, Multifamily GreenPoint Rater, Certified Energy Engineering Professional, and/or ADA certification (such as ADAC, CASp, TX RAS, IBC Certified Inspector Plans Inspector.
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The Data & Analytics department in Legal and Compliance is responsible for designing and optimizing surveillance models, approaches and tools using advanced analytical techniques like supervised and unsupervised machine learning, Natural Language Processing (NLP) and evolving techniques like reinforcement and deep learning as well as graph analytics.
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Design, design pattern, devops, lead, php, programming, software architect, software engineer lead. We keep our people at the center, creating space for growth, understanding and learning so they can thrive.
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Commit to professional learning on culturally responsive teaching, mind/brain/education pedagogies, restorative practices, and racial justice training. Teaching pedagogy should honor Quaker values and the Teaching and Learning Paradigm of Friends School.
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deployment machine learning solution architect jobs in Catonsville, MD
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