
**Core Responsibilities:** Develop and implement GenAI solutions tailored to business requirements Design, train, and fine-tune machine learning models using industry best practices Conduct data preprocessing, feature engineering, and comprehensive model evaluation Fine-tune Large Language Models (LLMs) using advanced techniques such as Retrieval-Augmented Generation (RAG) Build and optimize RAG pipelines using Azure-native tools, implementing semantic search and chunking strategies Integrate vector storage solutions (Azure AI Search, Pinecone, Milvus) for efficient data retrieval Orchestrate AI workflows using Prompt Flow and Azure OpenAI Service (GPT-4o and related models) via Python SDKs Apply prompt engineering techniques to enhance model performance and user experience Collaborate with software development teams to seamlessly integrate AI models into user-facing applications Leverage Python and ML libraries (Hugging Face, Scikit-learn, LangChain) to build scalable solutions
B.E
4+ Years
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