inference. Implement vector search integrations (Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG). Data... with LLM fine-tuning, embeddings, and RAG pipelines. Knowledge of MLOps practices (Kubeflow, MLflow, Vertex AI, SageMaker...
-augmented generation (RAG) techniques and vector databases (e.g., FAISS, Pinecone, Weaviate). Solid experience integrating...
with multi‑agent systems. Knowledge of RAG (Retrieval‑Augmented Generation) architectures. Experience deploying AI solutions...
: Interface with Google BigQuery to feed structured data into Vertex AI pipelines for custom model tuning or RAG workflows. Cross...
Design and implement GenAI solutions (Copilots, AI chatbots, RAG pipelines, AI agents) to enhance service delivery across Tax... development (PySpark) Strong skills in RAG architecture design, prompt engineering, and agent orchestration Experience...
in generative AI. Hands-on experience with retrieval-augmented generation (RAG) techniques and vector databases (e.g., FAISS...
with multi-agent systems.Knowledge of RAG (Retrieval-Augmented Generation) architectures.Experience deploying AI solutions...
. Knowledge of RAG (Retrieval-Augmented Generation) architectures. Experience deploying AI solutions to production. Ability...
, RAG, Workflows, GenAI, Multimodal AI and Agents, with a strong track record of iterative optimisation and performance...
in generative AI. Hands-on experience with retrieval-augmented generation (RAG) techniques and vector databases (e.g., FAISS...