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Home › Jobs › Machine Learning › Cloud Architect
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Cloud Architect

Capgemini
Experience1 year
Salary Not disclosed
Job TypeFull time
Skills: Machine Learning Python
Job Description
Job Title: Cloud Architect Company: Capgemini Job Category: Machine Learning Roles & Responsibilities: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role ------------- We are seeking an experienced Azure Cloud Solution Architect with a strong background in designing and developing end\-to\-end AI/ML/Gen AI/Agentic AI solutions for intelligent AI automation. The ideal candidate will have 10\+ years of hands\-on experience in architecting and implementing cloud\-native solutions, with deep expertise in the Microsoft Azure ecosystem. * Design and architect scalable, secure, and resilient AI/ML/Gen AI solutions using Azure services such as Azure Machine Learning, Azure Open AI, Azure functions, Logic apps, Azure Synapse Analytics, Azure Databricks, and Azure Kubernetes Service (AKS). * Define architecture blueprints leveraging Azure Well\-Architected Framework and ensure alignment with enterprise standards. * Lead the development and deployment of machine learning models using Azure ML pipelines, MLflow, and Python SDKs. * Implement Infrastructure as Code (IaC) using Terraform or Azure Resource Manager (ARM) templates to automate provisioning of Azure resources. * Integrate AI/ML solutions into Azure\-based architectures using services like Azure Data Factory, Event Grid, Service Bus, and Logic Apps. * Ensure seamless data flow and orchestration across Azure services. * Design secure and scalable network architectures using Azure Virtual Network, Network Security Groups, Application Gateway, and ExpressRoute. * Ensure high availability and disaster recovery strategies for networked solutions. * Expertise in Compute, Storage, Networking, Security, PaaS, Serverless architectures, Azure API Management, Azure Functions. What you 'love about working here ------------------------------------- * You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. * You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top\-ups, elder care, partner coverage or new parent support via flexible work. * At Capgemini, you can work on cutting\-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55\-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end\-to\-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22\.5 billion. Work Location: Maharashtra, India Availability: Full time
Requirements
* Bachelor's or Masters degree in Computer Science, Information Technology, or a related field. * Proven experience as a DevOps Engineer, with a focus on Azure. * In\-depth knowledge of Azure services and DevOps best practices. * Proficiency in scripting languages such as PowerShell or Bash. * Familiarity with machine learning and Gen AI frameworks and libraries. Your Profile ---------------- Key Skills: Machine Learning, Python Salary: Not disclosed
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