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Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik). · Possess strong working knowledge of various data integration and business intelligence tools, including Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik.
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Director - Artificial Intelligence & Machine Learning. Director - Artificial Intelligence/Machine Learning. Create and implement solutions with respect to complex problems/scientific questions on large scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, especially in the area of genomics, proteomics, and imaging.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. The successful candidate will collaborate closely with University researchers to develop novel interactions between computational and biological sciences by applying the tools of multi-omics high-throughput data generation, statistics, computational modeling, and artificial intelligence to the understanding of biological interaction networks with biomedical applications.
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ResponsibilitiesSupport applications of Artificial Intelligence (AI) in various research disciplines and serve as the domain expert. Preferred QualificationsEducation:Ph. D. in computer science, computer engineering, data science, or similar.
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The Hartford is seeking a Director and Data Engineer within Actuarial to lead data engineers in designing, developing, and implementing modern and sustainable data assets to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.
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Cardiosense is a digital health company that operates at the intersection of wearable technology and artificial intelligence to improve patient health. 5 years of experience in data analysis or related fields such as Data Scientist, Computational Biologist, or bioinformatics.
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Experience on Azure DevOps, Kubernetes, Docker, Bitbucket, Packer, Terraform, Chef, Puppet knowledge is a plus. Azure DevOps, PowerShell, Terraform. Hands-on DevOps experience on GitHub Actions, PowerShell, Jenkins/Groovy, Azure Resources, Azure PowerShell, Azure Compute Gallery, GitHub.
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Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee.
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Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes.
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Proven experience with LoadRunner, Selenium, Docker, Kubernetes, Jenkins, Azure DevOps, Veracode, MSFT Power Platform, MSFT Power Automate, and cloud platforms (Azure/AWS). Relevant certifications (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, Certified Kubernetes Administrator) are a plus.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Experience:Minimum of 3+ years in Analytics/Business Intelligence, leading projects, and building data solutions in a cloud environment.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake.
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Lightning Connect to call an external API A good understanding of OAUTH2, caching, future calls, Outlook integration, CICD pipeline, modern IDEs, SCM tools (Git, SVN), HTML, CSS, JavaScript, Salesforce DX It's good to have Azure DevOps, databases, data modeling, and SQL. An ability to develop reports, dashboards, and processes to monitor data quality and integrity.
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Hands-on experience on certificate generation tools like Venafi Expertise in scripting languages such as Groovy, YAMLs, Python, Bash, or PowerShell for automation and orchestration Specializing in Cloud Infrastructure Modernization, virtualization, data center setup, DR & BC Strategies, and DevOps Experience in on-premises data center operations, AWS hosted data center and operations management.
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big data artificial intelligence azure devops jobs Title: developer in Chicago, IL
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