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Familiarity with Azure services related to AI and ML, such as Azure Machine Learning, Azure Cognitive Services, and Azure Databricks. Design, develop, and deploy machine learning models using Azure Machine Learning and other Azure services.
$180,000 - $250,000 a yearRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Technical Skills : Angular JS Microsoft Azure IoT SAP C/4HANA for Utilities, J2EE CSS MySQL JavaScript Node js Flask Python Azure Event Hub Microservices Spring Boot Redux Azure Container Services Azure SQL Azure Cosmos DB Azure Kubernetes Services Azure Functions Docker Azure Virtual Machine Roles & Responsibilities: Lead the development and implementation of applications using Microsoft Azure IoT ensuring high performance and responsiveness to requests from the front-end.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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Strong expertise in generative AI techniques for summarization, Chatbot and data embedding using AWS, Microsoft Azure Open AI and other open source LLM models. + Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
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NET, MS Copilot, MS Fabric, OpenAI, Azure OpenAI, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Cosmos DB, Azure Machine Learning Service, Artificial Intelligence including BOT framework, Cognitive Services, Cognitive Search, etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Transform your career to the next level with GDIT as a Solutions Architect where you can elevate your skills in Data Science, Machine Learning, or leading AI techniques and technology expertise into solutions in support of our Government customers.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, monitoring, and feedback loop.
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The Senior End User Services (EUS) Engineer performs level 3 support, research, policy development, MECM/Intune software packaging, configuration management, imaging, Microsoft & 3rd party patch management and new technologies for the End-User Services environment including the Azure GCC High cloud environment.
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Certifications (Optional): PowerShell Certifications: Relevant certifications, such as Microsoft Certified: Azure Administrator Associate, that demonstrate proficiency in PowerShell and related technologies.
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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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Ensure seamless integration of various Azure services and manage the deployment and configuration of Azure technologies such as Azure Data Factory, Azure Databricks, Azure SQL Server, Azure Data Lake Store, Azure Blob Storage, Power BI, Azure Search, Azure Cosmos DB, Azure DSVM (Windows & Linux), and Azure ML.
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Working knowledge of Microsoft Azure and Azure DevOps: Pipelines, Releases, Backlogs, Wiki. Demonstrated experience with Microsoft Dynamics 365 customization, configuration, development, deployment and usage.
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Utilize Azure DevOps services or Gitlab for source control, build, release, and deployment. 2+ years proven experience as a DevOps Engineer with a focus on Microsoft Azure.
$110,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Today
microsoft azure deployment machine learning jobs Title: practice director
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