Nlp, MLops, Azure, Python, experiment tracking, API deployment, NLU, vector databases, container orchestration, GDPR compliance, model serving

Api Development, Tensorflow, Gcp, Pytorch, Azure, Python, Etl, AWS, LangChain, Airflow, data pipelines, LLMs, model deployment, Hugging Face, Scikit-learn, MLflow, prompt engineering, Kubeflow, LlamaIndex

Argo, MLops, Python, CrewAI, LangChain, Airflow, SFT, MLflow, AutoGen, LangGraph, Kubeflow, LoRA, QLoRA, LlamaIndex, RLHF

composer , Tensorflow, Dataproc, Machine Learning, BigQuery, Pytorch, Artificial Intelligence, Kubernetes, Python, Docker, Gcp, LangChain, LLM lifecycle management, Scikit-learn, RAG architectures, LangGraph

Artificial Intelligence, Machine Learning, Python, Automation, Large Language Models, Generative AI

production readiness , Python, scalable system design, data pipelines, GenAI LLM application development, deployment observability, model pipelines, APIs and backend services, ML LLM framework, ML training and evaluation workflows

Git, Gcp, Azure, Python, AWS, LangChain, RAG systems, DevOps practices, Qdrant, vector databases, REST API design, Pinecone, LLM APIs, Chroma, FAISS, CI CD pipelines, Weaviate, LlamaIndex

Java, Python, similarity search, embeddings, vector search systems, context optimization, relevance ranking, data chunking, vector databases, hybrid retrieval, LLM-powered applications, semantic search

Graphql, Node, Rpc, Kafka, REST, Typescript, Docker, Sqs, Kubernetes, Python, LangChain, pgvector, JSON Schema, Pinecone, LangGraph, Zod, Pydantic, BullMQ, Weaviate

Machine Learning, Tensorflow, Nlp, Pytorch, Docker, AWS, Gcp, Python Programming, Rest Apis, Azure, Vector search, Prompt engineering, Data preprocessing, Microservices architecture, Feature engineering, Embeddings, Inference workflows, Agent-based workflows, AI services APIs, RAG pipelines, Large Language Models, LangChain, LLMs, Elastic OpenSearch, FAISS, Embedding models, Tool integrations, Google ADK, Model evaluation