AI EngineerAI Engineer is responsible for designing, training, and fine-tuning the models. Core Responsibilities:Develop and implement GenAI solutionsConduct data preprocessing, feature engineering, and model evaluation.Fine-tune Large Language Models (LLMs) using techniques like RAG (Retrieval-Augmented Generation)Collaborate with software teams to integrate models into user-facing applications.Key Skills:Proficiency in Azure AI Search for vector storage, Prompt Flow for orchestration, and integrating Azure OpenAI Service (GPT-4o, etc.) via Python SDKs, Python and ML libraries (Hugging Face, Scikit-learn, LangChain), Experience with vector databases (Pinecone, Milvus) and prompt engineering.Responsibilities: Build Retrieval-Augmented Generation (RAG) pipelines using Azure-native tools implement semantic search and chunking strategies.Experience: 4+ years in ML development.
Qualifications
B.E
Additional Information
4+ Years
📌 AI Engineer (India)
🏢 Robert Bosch
📍 India
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