Azure GenAI / Azure AI with .NET Capgemini

7.0 - 12.0 years

15 - 30 Lacs

bengaluru

Hybrid

Roles and Responsibilities Design, develop, test, deploy, and maintain large-scale AI solutions using Azure GenAI/Azure AI services such as LLM, Key Vault, API Management, and Service Bus. Collaborate with cross-functional teams to identify business requirements and design scalable architectures for data processing pipelines. Develop high-quality code in C# and ASP.NET Core/ASP.NET to integrate with Azure PaaS services like Azure Functions and Logic Apps. Ensure seamless integration of AI models into existing systems by implementing APIs using RESTful web services or messaging queues through Service Bus. Desired Candidate Profile 7-12 years of experience in software development with expertis...

Posted 1 month ago

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Cloud & Platform Engineer Qualitykiosk Technologies

4.0 - 8.0 years

7 - 17 Lacs

Navi Mumbai

Remote

Job Title: Cloud & Platform Engineer AI Agent & Platform Deployment (GCP Preferred) Location: Remote / Hybrid (India preferred) About the Role: We are building an enterprise-ready AI agent and AI framework. This role is central to the success of the platform — you'll lead the design, deployment, and scaling of cloud-native infrastructure, enabling smooth operation of the agent across GCP and other cloud providers. You’ll work closely with AI engineers, product managers, and QA leaders to operationalize an LLM-based stack integrated with enterprise tools like Jira, Zephyr, and Selenium. Key Responsibilities: Design and deploy secure microservice-based architecture (Docker, Kubernetes, API Gat...

Posted 4 months ago

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Sr. AI/ML Engineer Kezan Consulting

3.0 - 8.0 years

10 - 15 Lacs

Gurugram, Bengaluru, Delhi / NCR

Work from Office

Role & Responsibility Develop and maintain microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions. • Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization. • Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models. • Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements. • Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management. • Create and manage CI/CD ...

Posted 5 months ago

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