Ml, JIRA, Confluence, Azure, AWS, LangChain, data pipelines, AI model design and training, LLMs, Hugging Face, vector databases, compute environments, prompt engineering, MLOps practices, AI frameworks, LlamaIndex, RAG architectures

Apis, Postgres, FastAPI, Python, Recommendation Systems, Vector Databases, Embeddings, LLMs, semantic search, AI Workflows, Retrieval Systems

Java, Gcp, Azure, Python, AWS, LangChain, multi-agent systems, embeddings, LLMs, contextual retrieval, Pinecone, vector stores, data engineering concepts, document indexing, FAISS, MLOps tools, LlamaIndex

Ml, Apis, Data Architecture, Gcp, Azure, Python, AWS, LLM integration, Ai, prompt engineering, performance optimisation, model evaluation, scalable backend systems

Gcp, Azure, AWS, AWS Bedrock, AI engineering, MCP automation frameworks, access control for AI systems, Anthropic, Azure OpenAI, output validation monitoring, cloud environments, agent-driven workflows, AI security controls, machine learning engineering, AI assistants, GPT-based tools, OpenAI

Apis, Microservices, Azure ML, Azure Functions, Docker, Microsoft Azure, Kubernetes, Python, Azure DevOps, embeddings, LLMs, transformer models, Azure OpenAI, Azure serverless frameworks, ML NLP libraries, Azure App Service

Java, Rust, Gcp, Azure, Kubernetes, AWS, OpenTelemetry, oci, Go

React, Typescript, Javascript, Cursor, Vercel, Next.js, Codex, Claude Code

Personalization, Nlp, Text Mining, conversational AI, automated ML and NLP pipelines, discovery, query understanding, recommendations

causal inference , Sklearn, Sql, Gcp, MLops, Clustering, Azure, Python, AWS, LangChain, LLMs, Forecasting, budget optimization, experimentation, Segmentation, Statistics, statsmodels, NL2SQL, AutoML, LlamaIndex