data engineering , risk systems , Ml, Python, Sql, commodity trading platforms, market data feeds, Ai

Iso 27001, LangChain, OPA, LLMOps tooling, NIST AI RMF, AI machine learning, Model Context Protocol, guardrail frameworks, retrieval-augmented generation, vector databases, Responsible AI frameworks, agent frameworks, Semantic Kernel, LangGraph, model evaluation, OpenTelemetry, Langfuse, Pydantic, LLM application architecture, AI governance

Java, Cuda, Tensorflow, Jenkins, Git, Pytorch, Docker, Python, Kubernetes, TensorRT-LLM, LangChain, scikit-learn, vLLM, AutoGen, LangGraph, hip, LlamaIndex

Iso 27001, LangChain, OPA, agent collaboration patterns, NIST AI RMF, AI engineering standards, guardrail frameworks, multi agent architecture, Responsible AI frameworks, prompt engineering, Semantic Kernel, LangGraph, OpenTelemetry, LLM Ops tooling, Langfuse, Pydantic, LLM provider selection

Rpa, generative AI, low code or no code AI platforms, structured enablement programs, discovery workshops, citizen developer movements, data literacy

Machine Learning, ML Ops, DevOps practices, generative AI, cloud-based AI platforms, modern software engineering practices, enterprise AI deployment frameworks, AI technologies

Apis, system integration, Python, Airflow, deployment practices, RAG embeddings, data pipelines, n8n, vector databases, make, Zapier, knowledge retrieval, workflow automation tools, LLM workflows, AI agents, AI inference-layer design

Apis, system integration, Python, Airflow, RAG embeddings, deployment practices, data pipelines, n8n, vector databases, make, Zapier, knowledge retrieval, workflow automation tools, LLM workflows, AI agents, AI inference-layer design

System Architecture, System integration, Apis, Python, AI platforms, Enterprise solution design, OSS BSS system integrations, AI solution delivery, Data pipelines, AI technologies