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Experience with SWCM tools (Microsoft Azure DevOps Server (ADS) - Git, BitBucket, IBM Rational Team Concert (RTC), and/or IBM Rational ClearCase, Synergy, Jenkins, Artifactory. Additionally, SWCM is responsible for administration and user access for Change and Configuration Management toolsets (i.e. Atlassian Jira, Microsoft Azure DevOps Server (ADS), Git, etc.
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google’s Vertex AI.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.
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Excellent understanding of Public Cloud offerings from large Hyperscalers (AWS, Azure, GCP) and major building blocks of a Private Cloud environment including Cloud Access Layer (IDAM, IGA, PAM etc.
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Cloud technology knowledge and experience, such as Terraform, TFE, AWS, Azure, GCS, OCI or OpenStack. The Database Platform Engineering team is seeking an experienced Database Engineer with a DBRE-focused background to join its expanding team, which utilizes DevOps/Reliability Engineering philosophies.
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Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services. We seek a Data Engineer who brings a robust skill set and extensive experience in cloud-based data engineering experience particularly within the realm of Azure and Databricks using Python, PySpark and cloud SQL. Critical thinking and problem-solving abilities are paramount, as you will navigate evolving and complex requirements and collaborate with stakeholders across diverse technical backgrounds.
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Relevant certifications such as VMware Certified Professional (VCP), Microsoft Certified: Azure Administrator Associate, AWS Certified Solutions Architect, or equivalent certifications are a plus.
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In depth technical knowledge of a variety of the following : Software: IBM z/OS utilities & JCL DFSMSdfp, DFSMShsm, DFSMSdss DFSMSrmm, C1 TREX, SAS/MXG, TDMF, SRDF, GDPS Monitors: CVantage SRM, RMF, Omegamon Microsoft Office, Sharepoint Hardware: DASD and Tape infrastructure in relation to Mainframe environments.
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Additionally, the role includes managing Okta identity and access management services, email encryption, Infoblox DDI solutions, DNS management, and enterprise printing solutions, with a specific emphasis on Microsoft Cloud services.
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AWS Cloud Practitioner Essentials Training, MS Azure Fundamentals Training, or the latestequivalent are also desirable. end-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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1-2 years of work experience with Azure, AWS, Google Cloud, or other cloud computing platforms. Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Technical Knowledge: Extensive experience with Google Cloud services, including AI/ML, Kubernetes, serverless architecture, cloud functions, Cloud Run, APIs, BigQuery, and cloud tasks.
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With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, motivated by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
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Requirements: Requires a Master s degree (or foreign equivalent) in Statistics, Applied Mathematics, Operations Research, Economics, Quantitative Finance, Financial Engineering or related field and 3 years of experience as a Quantitative Model Developer, Quantitative Risk Modeler, Associate, or related position involving model validation and development for a global financial or investment banking institution.
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Professional Certification such as: MB-300 MB-310 MB-320 MB-330 MB-500 MB-700 Preferred Certifications: Microsoft Certified: Dynamics 365: Finance and Operations Apps Solution Architect Expert Microsoft Certified: Dynamics 365 Finance Functional Consultant Associate Microsoft Certified: Dynamics 365: Finance and Operations Apps Developer Associate Our Hybrid Workplace Protiviti practices a hybrid model, which is a combination of working in person with a purpose and working remotely.
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Minimum 2 years of management and leadership experience Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Limited immigration sponsorship may be available Preferred Technical skills: Data Science / Analytics using a multitude of data sources.
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software engineering developer microsoft azure google cloud jobs Title: engineer Company: Fico in Irving, TX
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