AI Summary
Powered by ClaudeThen join our dynamic digital team! You will: Implement end-to-end AI features depending on the project, including: Computer Vision(detection/recognition pipelines, image preprocessing, evaluation, inference integration), NLP/Transformers (text classification, extraction, summarization, embeddings-based workflows), RAG / semantic search (ingestion -> chunking -> embeddings -> retrieval -> answer generation); Improve retrieval quality using two-stage search (vector retrieval + reranking using cr…
Job description
Then join our dynamic digital team! You will: Implement end-to-end AI features depending on the project, including: Computer Vision(detection/recognition pipelines, image preprocessing, evaluation, inference integration), NLP/Transformers (text classification, extraction, summarization, embeddings-based workflows), RAG / semantic search (ingestion -> chunking -> embeddings -> retrieval -> answer generation); Improve retrieval quality using two-stage search (vector retrieval + reranking using cross-encoders/rerankers) when relevant to the project; Work with vector search / vector databases in local and cloud setups: Self-hosted (Docker) and client environments, as well as cloud-managed search stacks (e.g., OpenSearch vector search, Azure AI Search hybrid/vector search); Build and maintain Python backend APIs (FastAPI/Django) that serve AI pipelines reliably (auth integration, error handling, basic performance considerations); Package solutions with Docker, help run deployments in cloud environments, and support debugging in dev/stage/prod; Collaborate with software engineers, data engineers, and consultants to deliver working solutions under real project timelines.
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