Tensorflow, Pytorch, Python, learning-to-rank models, recommendation systems, data pipelines, model training, search relevance, feature engineering

Python, GenAI, embeddings, vector search, multi-step reasoning, Azure OpenAI, prompt engineering, Evaluation, structured-vs-unstructured retrieval design, RAG, planning tool use, NLU, agentic patterns, LLM orchestration, intent classification

production deployment , Amazon Web Services, Api Development, Backend Engineering, Google Cloud, Python, OpenAI models, vector search, embeddings, RAG architecture, LLMs, open-source alternatives, vector databases, Pinecone, prompt engineering, Agentic AI systems, retrieval systems, model evaluation, Weaviate

Azure ML, Tensorflow, MLops, AWS, Pytorch, Python, Azure, Gcp, Git, LLMs, Vertex AI, Claude, scikit-learn, Gemini, SageMaker, transformer-based frameworks, LLaMA, Qwen, DeepSeek, OpenAI GPT-4, Mistral

Keras, Pytorch, Python, Tensorflow, Model Evaluation, Data Preprocessing, Feature Engineering, reinforcement learning

AWS, Pytorch, Tensorflow, Python, Azure, Docker, Gcp, Nlp, building scalable data pipelines, fine-tuning LLMs, LLM technologies, prompt engineering

AWS, Node.js, Python, Azure, Gcp, LlamaIndex, API integrations, Weaviate, LangChain, Pinecone, Hugging Face, FAISS

Python, MLops, LlamaIndex, LangChain, prompt engineering, modern AI frameworks, AI services, vector databases, embeddings

Git, Java, Tensorflow, Pytorch, Python, Nlp, Copilot, OpenAI, feature engineering, Gemini, data preprocessing, Weaviate, R, Cohere, LangChain, model evaluation, Anthropic, Chroma