Senior Performance Analysis Engineer

24 hours ago

India doAZ Full time

Doaz is a hyper-growth startup on a mission to turn fragmented industrial knowledge into instant, actionable insight. We build LLM- and Vision-AI solutions for construction, heavy industry, and finance leaders who must transform terabytes of drawings, specifications, and regulations into real-time decisions. We’re expanding our GeoAI programs (including joint work with POSCO E&C) and launching drawing-change detection services that automatically compare plan versions, detect deltas, and explain design impacts. True 0-to-1 ownership — Ship models that land in production sites within weeks. • We’re hiring a Senior Computer Vision & Multimodal LLM Engineer (GeoAI & Drawing Change Analysis). You’ll lead end-to-end development of a version-aware drawing-diff engine (PDF/DWG raster & vector), symbol/text extraction, and change-impact narratives powered by RAG/LLM. Drawing Change Analysis (CV) YOLOv8/RT-DETR/Detectron2/SAM) for symbols (columns, openings, sleeves), title blocks, and revision clouds; Engineer OCR + layout models (PaddleOCR/Tesseract + DocFormer/LayoutLMv3/Donut) to read legends, notes, schedules, and BOM tables; GeoAI & LLM/RAG ground LLM answers in evidence with citations and clickable locations. slab shear reinforcement, opening proximity to columns) with rules + LLM verification; Productization & DevOps Ship FastAPI/gRPC microservices, batch & streaming workers (Ray/Celery), GPU inference (Triton/TensorRT), and observability (Prometheus/Grafana). Own evaluation: dataset curation, data labeling guidelines, ablation/A-B tests, and regression suites. Work closely with domain SMEs (geotech/structural) to encode rules (KDS/KBC, internal standards) and prioritize what matters to the field. 5+ years of production Python (3.x) building ML-heavy backends; 3+ years in computer vision for detection/segmentation/OCR or document AI at scale. ~ Hands-on with multimodal LLM/RAG (LangChain/LlamaIndex), vector DBs (Pinecone/Weaviate/FAISS), and rerankers. ~ Proven experience parsing engineering drawings or complex PDFs (vector/raster), including geometry and layout reasoning. ~ Solid MLOps: reproducible training, CI/CD, model packaging, monitoring; cloud on AWS/GCP. ~ Fluent written & spoken English (Korean a plus). GPU orchestration (Kubernetes/Ray/Slurm), high-performance inference (ONNX/TensorRT). Experience with VLMs (Gemma-VL, Qwen-VL, LLaVA), CLIP, or doc-layout models. Full-stack chops (TypeScript/Next.js/React) for quick operator tools and review UIs. Compensation & Benefits Competitive base salary (market-leading) , around 20 lakh (yearly) Performance-based annual bonus (up to 20%). cloud credits, and AI tools support. Quick intro call (15 min, mutual fit). ~polish). ~ Culture & vision chat with Founder/CEO. ~ ai with subject (CV/LLM Engineer – Your Name) and include: A one-page diagram of your “Drawing Revision → Detection → Evidence → LLM Narrative” pipeline, noting models, retrieval, and evaluation metrics. Full-time Ready to turn messy drawings and specs into instant, trusted intelligence?

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