, GCP, Azure) and MLOps tools. Knowledge of vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering... to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting...
based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets... and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients...
, embeddings, vector search, or hybrid retrieval strategies. Familiarity with LLM evaluation patterns (golden sets, automated... with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected...
Architect and evolve a scalable HubSpot CRM structure to power sophisticated member communications and targeted marketing...-precision, content-led marketing Automate manual processes across the business with an "automation-first" mindset Collaborate...
in targeting new opportunities (Brownfield) and New Logos (Greenfield) through Local campaigns together with Marketing/Partner... Teams Develop a New/Incremental Pipeline of opportunities to be qualified Follow-up Orange Business European Marketing...
such as JIRA. Bonus Points if You Have Experience with Vector tools CANoe, CANalyzer and understanding of protocols like CAN... world's ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark...
GenAI tooling, such as orchestration frameworks, vector databases, and embedding pipelines, into end-to-end solutions...). Strong understanding and practical experience with: Generative AI tools and frameworks (e.g., LLM orchestration, vector databases...
or similar. Optimize prompt strategies, memory, tools, and policies. RAG & vector search: Architect robust RAG pipelines... with vector DBs (Pinecone, Chroma, Weaviate, pgvector), including chunking, hybrid search, embeddings selection, caching...
is a massively scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial..., and vector search — creating the System of Context, the bridge between enterprise data and LLMs. We’re a global team based...
experience in working with LLMs, including fine-tuning and prompt engineering. Strong knowledge of RAG techniques and vector... libraries (e.g., TensorFlow, PyTorch, LangChain, Hugging Face, FastAPI). Experience with Vector Databases (e.g., Pinecone...