Job Description
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
- Build and manage AI workflows using Azure AI Foundry (formerly Azure AI Studio).
- Develop, fine-tune, and deploy Large Language Models (LLMs) such as GPT, Phi-3, Llama, etc.
- Implement prompt engineering, grounding, and RAG (Retrieval-Augmented Generation) patterns.
- Manage model lifecycle: training, evaluation, versioning, and deployment.
- Configure and maintain Azure AI Search, embeddings, and vector indexes.
- Integrate structured and unstructured data using Azure Storage, Cosmos DB, and SQL.
- Build RAG pipelines using Search, Azure OpenAI, and ...
Your Role
- Build and manage AI workflows using Azure AI Foundry (formerly Azure AI Studio).
- Develop, fine-tune, and deploy Large Language Models (LLMs) such as GPT, Phi-3, Llama, etc.
- Implement prompt engineering, grounding, and RAG (Retrieval-Augmented Generation) patterns.
- Manage model lifecycle: training, evaluation, versioning, and deployment.
- Configure and maintain Azure AI Search, embeddings, and vector indexes.
- Integrate structured and unstructured data using Azure Storage, Cosmos DB, and SQL.
- Build RAG pipelines using Search, Azure OpenAI, and ...
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