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4 days ago
We are seeking a seasoned expert to lead the development of industrial-grade AI systems that convert diverse data sources into actionable insights.
About the OpportunityThe successful candidate will be responsible for designing and developing cutting-edge AI solutions that transform unstructured data into auditable, evidence-linked decisions.
Key Responsibilities- Design and implement multimodal retrieval architectures that integrate text, tables, images, CAD drawings, and regulations.
- Develop hybrid retrieval models that combine BM25, dense embeddings, metadata, and knowledge graph reranking; target ≥90% top-k answerability and traceable citations.
- Build domain-specific embeddings for bilingual technical terminology and craft routing/prompting strategies for audit-ready outputs.
- 7+ years of experience building production AI/ML or search systems with 3+ enterprise deployments end-to-end.
- Expert-level proficiency in Python 3.11+, SQL, and strong systems thinking and data modeling skills.
- RAG at scale: vector databases (Pinecone/Weaviate/FAISS), BM25, rerankers, prompt/routing strategies, and evaluation metrics (faithfulness, coverage, latency).
- MLOps/SRE expertise: versioning, canaries/A-B testing, drift detection, observability, cost/perf trade-offs, and clear communication.
GPT-4o/GPT-4.1, Gemma-3 27B-VL, Qwen-VL, rerankers (Cohere/MXBAI), YOLOv8/RT-DETR, LayoutLMv3/DocFormer/Donut, FastAPI, Python, TypeScript, AWS EKS, Pinecone, Postgres, Temporal, Prometheus/Grafana.
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