data engineering , Machine Learning, Nlp, Gcp, Azure, AWS, LangChain, embeddings, Generative AI, cloud platforms, vector databases, Python APIs, model lifecycle, RAG, OpenAI, AI model integration, LLM frameworks and tools

generative ai, Data pipeline engineering, Ai, Llm

batch vs. real-time inference, Python, CrewAI, LangChain, GenAI, ML infrastructure, GPU management, vector databases, embedding models, vLLM, Llm, LangGraph, AutoGen, Ollama, TGI, Milvus, RAG pipelines, ChromaDB, Weaviate, model serving, AI ML systems

Tensorflow, Pytorch, Model deployment and optimization techniques, Hugging Face Transformers, GPU cluster architecture

Generative AI frameworks, AI ML frameworks, Security Protocols, data compliance frameworks, prompt engineering, vector databases, embedding models