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Familiarity with Apache Spark, PySpark, Azure Data Factory, Azure Databricks, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP), Teradata and Python.
$78,800 - $151,075 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical Certifications a plus: CCSP, CompTIA Cloud+, CCNP, AWS Certified Solutions Architect, Microsoft Certified Azure Developer or Engineer, Google Professional Cloud Network Engineer.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) The Enterprise Model Platform team in the Machine Learning Experience (MLX) organization supports a hosted internal Jupyter Notebook system running critical infrastructure for modeling and exploratory analysis across Capital One. You will get an opportunity and exposure to the thousands of models being trained on the notebook platform by myriad users across Capital One and dive deep into the unique engineering challenges we have around data access, security and scale.
$201,400 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, deploy, and manage cloud-oriented solutions from major vendors such as Amazon Web Services, Microsoft Azure, Google, Oracle Cloud Compute, and IBM. Looking for the opportunity to work on problems that matter, with colleagues that share your interest and expertise in cloud engineering and Artificial Intelligence and Machine Learning integration.
$101,400 - $183,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Microsoft Azure. Leidos is looking for a Senior AI Cloud Engineer to apply their expertise in Cloud Engineering, software packaging, and Artificial Intelligence and Machine Learning, to develop repeatable architectures and integration packages for AI capabilities.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, SQL, SSIS, SSAS, SSRS, PySpark, Microsoft Fabric, dbt, Linux, Terraform, Bicep, Data Ops, Purview, Git, Delta, Pandas, Spark SQL.
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Advanced knowledge and hands-on experience with at least one cloud environment (such as AWS, Microsoft Azure Oracle, or Google Cloud) and Infrastructure as Code for deploying Platforms at scale.
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Microsoft bets on Artificial Intelligence (AI) as the next growth opportunity for the company driven by Large language Model (LLM) initiatives. The Azure Responsible AI group is focused on the identification, measurement, mitigation, and monitoring of Responsible AI risks in AI-generated and human-generated content spanning text, image, video, and multimodal content.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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.
$80,000 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Design and implement cloud data solutions on Microsoft Azure, migrating on-premises data to cloud data warehouses like Azure Synapse Analytics, and Azure Databricks.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Applying experience with cloud platforms, such as AWS, Google Cloud, or Microsoft Azure; Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Virtualization and cloud technologies (e.g., VMWare ESX server, Microsoft Azure, Amazon AWS, etc.) Artificial intelligence/machine learning/data science (e.g., large language models, ML.NET, pandas, scikit-learn, pytorch, tensorflow, R, etc.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Strong expertise in Microsoft technologies including Azure, Dynamics 365, Power Platform, and familiarity with incorporating artificial intelligence and machine learning capabilities.
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Designs and implements best in class data ingestion strategies, data warehouse and data mart structures, semantic layers and models, visualizations, streaming processes, API integrations, and automation (RPA) solutions for end-to-end data analytics solutions on primarily, but not limited to, cloud analytics platforms such as Azure and AWS.
$94,000 - $121,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with Microsoft Azure/AWS DevOps, and GIT. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.
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