JD for AI Engineer
Location : Bangalore
AI Engineer is responsible for designing, training, and fine-tuning the models. Core Responsibilities:
Develop and implement GenAI solutions
Conduct 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.