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

Machine Learning, cloud security, Api Development, PowerShell, Scalability, Nlp, High Availability, Azure Data Factory, Azure Functions, Databricks, Cosmos DB, Python, Azure DevOps, Azure ML Studio, Cognitive Services, Azure SQL Database, Model deployment using AKS, AI solution architecture, Deep Learning on Azure, Azure CLI, Microsoft Azure AI Platform

Typescript, React, Cursor, Python, Kotlin, LangChain, LLMs, Claude, Knowledge Graph, industrial data, embeddings, supply chain data, prompt engineering, AI ML Engineering, Code Copilot

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

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

cloud security, Distributed Systems, LangChain, AWS Bedrock, pgvector, Embeddings and prompt engineering, Vector databases, Qdrant, Pinecone, scalable backend architecture, LangGraph, MCP Model Context Protocol, Google Vertex AI, Milvus, Weaviate, Generative AI LLMs, RAG architectures

Nlp, Distributed Systems, Cursor, GitHub Copilot, LLMs