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

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

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

Sql, Python, Langchain, LLM internals, agent workflows, vector databases, embeddings, prompt tuning

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