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We are seeking a skilled Machine Learning Engineer with expertise in Azure, Databricks, and MLflow, as well as strong full-stack capabilities, including experience with React.
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Proficiency in Azure infrastructure provisioning, configuration management, and deployment automation using tools like Terraform, Azure Resource Manager, PowerShell, or Azure CLI.
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OpenShift, Anthos, Google Kubernetes Engine (GKE), Azure Kubernetes Services (AKS), Amazon Elastic Kubernetes Service (EKS), Hashicorp Nomad. Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent.
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Syneren is seeking a skilled and visionary Azure Cloud Application Software Engineer to lead our cloud strategy and design robust solutions within the Microsoft Azure ecosystem to help modernized legacy application to the newest technology and approach available in the Azure Cloud.
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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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Certified Ethical Hacker (CEH), Windows/Linux Admin, Azure Sentinel or Other Cloud SIEM, CISSP, Security+, Network+, Cisco Certified Network Professional (CCNP), Cisco Certified Security Professional (CCSP.
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Adeptness with Terraform, Azure DevOps, and other tools essential for modern data engineering. Craft and maintain data processing workflows and analytics solutions using Azure Databricks, translating business requirements into technical marvels.
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3-5 yrs experience with AI technology and Azure cloud services, Cognitive services (AI, ML, LLM, algorithm), Python, NLP, Generative AI. Strong understanding of Open AI (Chat GPT, GPT, Chatbot) Better understanding on fine-tuning with Azure OpenAI distributed OpenAI models such as DaVinci, curie, Babbage, ADA. Good communication skills and basic customer mgmt.
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Experience with Azure DevOps CI/CD pipeline testing and deployment process Experience in DevOps tools like Azure DevOps, Jenkins, Maven, Git Work Location: US Based Remote. Integrate automation frameworks with CI/CD tools such as Azure DevOps Validate user experience and recommend UX improvements.
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Experience working with infrastructure as code and related tools (Terraform, CloudFormation, Azure Resource Manager, Google Cloud Deployment Manager, etc.) Strong experience managing release or continuous delivery tools (such as Jenkins, Nexus Repository, Blue Ocean, Bitbucket Pipelines, Azure DevOps.
$145,125 - $216,938 a yearFull-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Lead Software Engineer, Full Stack(JavaScript/Node.js) As a Capital One Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Posses one or more cloud certifications such as AWS Solutions Architect, MS Azure Solutions Architect, GCP Cloud Architect, ISC2 CCSP. 5+ years of knowledge and technical hands-on experience managing/deploying cloud capabilities with one or more cloud environments (AWS, Azure, GCP, OCI.
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AWS cloud services such as EC2, EMR, RDS, Redshift, Glue, SageMaker (or Azure and GCP equivalents) Experience in crafting and implementing data lakehouse solutions in the cloud (Preferably AWS. Alternatively, Azure, GCP.
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Familiarity with Azure services relevant to PowerApps, such as Azure Logic Apps, Azure Functions, and Azure AD. We are seeking a Microsoft Power Platform Developer with a strong background in Azure cloud services.
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Continuous learning and development opportunities, including access to training resources and professional development programs. Integrate PowerApps with Microsoft 365 services, including SharePoint, Dynamics 365, and Power BI.
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azure job Title: machine learning engineer Company: Advantis Global in Washington, DC
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