About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
ABOUT THE ROLE: The TDDs multi-modal expertise capture pipeline and Graph RAG branch of the Hybrid architecture require a dedicated data engineer who builds and operates the document ingestion pipeline, chunking engine, vector database indexing, retrieval/re-ranking
As the founding backend engineer, you will architect and build the platform engine that powers deployments across AWS, GCP, and Azure for our customers. You’ll design scalable systems that automate environment provisioning, orchestration, and runtime reliability.
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
About the projects: We are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
70% precision - Has implemented a golden dataset or ML evaluation dataset management system with versioning and lineage - Has built multi-format document ingestion pipelines processing 10 K+ documents reliably - Has implemented physical data separation
About the projects: we are building LLM evaluation and training datasets to train LLM to work on realistic software engineering problems. One of our approaches, in this project, is to build verifiable SWE tasks based on
Database Engineer (DBE) – Enterprise Open-Source Support Location: Remote (India) Department: Engineering - Open Source Database support Reports to: CTO / VP Engineering About Deep.BI We provide enterprise support and consulting for open‑source analytics and data infrastructure platforms such as