AI Engineer - Azure & ML Expertise at Remote, Remote, USA |
Email: chand@vaaridatech.com |
https://shorturl.at/zCvmO https://jobs.nvoids.com/job_details.jsp?id=2245626&uid= From: chandan Rai, vaaridatech chand@vaaridatech.com Reply to: chand@vaaridatech.com Role:- AI Engineer - Azure & ML Expertise We are looking for a skilled AI Engineer to join our team and help us build cutting-edge AI-driven solutions. If you have a strong background in Azure Cloud Services, Machine Learning (ML), and a passion for integrating AI technologies into production environments, we want to hear from you!Key Responsibilities: Develop and deploy Azure Machine Learning (ML) pipelines for data processing and model deployment. Implement Single Sign-On (SSO) and Azure AD SAML 2.0 integrations using MS Entra. Manage cloud infrastructure with Terraform or Azure Resource Manager (ARM) templates. Write clean, scalable, and efficient code, with strong proficiency in Python for AI/ML frameworks (e.g., TensorFlow, PyTorch). Integrate and deploy AI models into production environments, continuously monitoring their performance and optimization. Create and manage CI/CD pipelines for Agentic applications to automate deployment and integration. Work with Geospatial Information Systems (GIS) and spatial data in AI applications. Manage and optimize API services for seamless integration of AI-driven systems. Collaborate to integrate Agentic UI with Generative AI platforms in Azure.Required Skills & Qualifications: Strong understanding of Azure Cloud Services including compute, storage, networking, security, and DevSecOps. Expertise in Azure ML Pipelines, MS Entra (Azure AD SSO/SAML 2.0). Hands-on experience with Terraform or ARM templates for infrastructure management. Proficiency in Python and experience working with popular AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience in integrating AI agent frameworks and deploying them into production environments. Knowledge of CI/CD pipeline creation and management for efficient deployment and testing of AI applications. GIS Spatial Data experience is a plus. Familiarity with API management and building seamless integrations for AI platforms. Proven ability to integrate Agentic UIs with Generative AI platforms on Azure. Keywords: continuous integration continuous deployment artificial intelligence machine learning user interface active directory microsoft AI Engineer - Azure & ML Expertise chand@vaaridatech.com https://shorturl.at/zCvmO https://jobs.nvoids.com/job_details.jsp?id=2245626&uid= |
chand@vaaridatech.com View All |
08:21 PM 11-Mar-25 |