Azure AI Cloud Foundry

2 weeks ago

Bengaluru Karnataka India, Karnataka Tata Consultancy Services Full time

Dear Candidates,

Greetings from TCS

TCS is looking for Azure AI Cloud Foundry applications

Experience: 7-10 years

Location: Kolkata, Hyderabad, Bangalore, Pune, Chennai, Gurgaon


Required Technical Skill: Azure AI Cloud Foundry


Must have skill:


  • Strong hands-on experience with Azure AI services: Azure OpenAI, Azure Cognitive Services, Azure Machine Learning.
  • Deep understanding of Cloud Foundry architecture, BOSH, and service broker integration.
  • Proficiency in Python, .NET, or Java for AI and microservices development.
  • Experience with containerization (Docker) and orchestration (Kubernetes).
  • Familiarity with CI/CD tools like Azure DevOps, GitHub Actions, or Jenkins.
  • Strong knowledge of REST APIs, OAuth2, and secure API integration.
  • Experience in monitoring and logging using tools like Azure Monitor, App Insights, or Prometheus/Grafana.


Good to have skills:


  • Experience with multi-cloud or hybrid cloud environments.
  • Familiarity with MLOps practices and tools like MLflow or Kubeflow.
  • Exposure to event-driven architectures using Azure Event Grid, Service Bus, or Kafka.
  • Knowledge of data engineering pipelines using Azure Data Factory or Synapse.
  • Understanding of AI governance, model explainability, and responsible AI practices.


Roles and responsibilities:


  • Lead the design and implementation of AI-driven solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure ML).
  • Architect and deploy cloud-native applications on Cloud Foundry and integrate them with Azure services.
  • Collaborate with data scientists, developers, and DevOps teams to operationalize AI models in production environments.
  • Design and implement CI/CD pipelines for AI and microservices-based applications.
  • Ensure security, scalability, and performance optimization of deployed solutions.
  • Provide technical leadership and mentoring to development teams on best practices in AI and cloud-native development.
  • Troubleshoot and resolve issues related to AI model deployment, API integration, and cloud infrastructure.
  • Stay updated with the latest trends in Azure AI, Cloud Foundry, and cloud-native technologie

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