Remote: Hybrid

Role SummaryWe are hiring a hands-on Senior Data Scientist / AI Engineer to design and productionize AI capabilities for automated understanding and validation of complex 2D engineering drawings. The role combines Computer Vision, OCR/Document AI, multimodal LLMs, RAG/Graph-RAG, Knowledge Graphs and deterministic engineering rules.Key Responsibilities - Build AI pipelines to extract title blocks, notes, dimensions, tolerances, GD&T;, datums, callouts, tables, references and drawing views from PDF/DWG/DXF-derived engineering content. - Develop Computer Vision models for region detection, layout understanding, object detection, segmentation, symbol recognition, view classification and annotation localization. - Design OCR/document-processing pipelines for dense technical drawings using tools such as PaddleOCR, Docling, OpenCV, YOLO, Vision Transformers or equivalent frameworks. - Build multimodal/LLM workflows for engineering interpretation, structured extraction, contextual reasoning and JSON-based outputs with strong guardrails. - Develop RAG and Graph-RAG solutions over engineering standards, specifications, component rules and business-unit guidelines using vector search and Knowledge Graphs such as Neo4j. - Implement hybrid validation combining deterministic rule engines, symbolic checks and LLM reasoning; ensure exact geometric/tolerance checks are not delegated solely to LLMs. - Create explainable review findings including violated rule, source/citation, confidence, rationale and recommended corrective action. - Design Human-in-the-Loop feedback mechanisms to capture accept/reject/edit/override decisions and improve models, prompts, retrieval and rules.Model Evaluation & Productionization - Define accuracy benchmarks and golden datasets; track precision, recall, F1, IoU, OCR CER/WER, extraction accuracy, retrieval quality, validation accuracy and hallucination rate. - Perform failure analysis, prompt/model benchmarking, regression testing and continuous accuracy improvement.



- Convert experiments into production-grade Python/FastAPI services; containerize with Docker and support Kubernetes/GPU deployment. - Optimize inference latency, GPU memory and throughput for enterprise NVIDIA infrastructure such as H100/A100 or equivalent. - Implement MLOps practices for model/dataset/prompt versioning, experiment tracking, model registry, deployment pipelines and monitoring.Required Technical SkillsAreaExpected CapabilityProgrammingPython, SQL; solid software engineering practicesComputer VisionOpenCV, YOLO/object detection, segmentation, layout understanding, image preprocessingOCR / Document AIPaddle OCR, Docling or equivalent; table/text/technical-document extractionDeep LearningPyTorch and/or TensorFlow; transfer learning and model evaluationGenAI / MultimodalLLMs, VLMs, prompt engineering, structured outputs, tool/function callingRAG / Graph-RAGEmbeddings, chunking, vector search, hybrid retrieval, reranking, query transformationKnowledge GraphNeo4j or equivalent graph DB; graph modeling and graph retrievalLLM OptimizationLoRA/QLoRA, PEFT, quantization, fine-tuning, context and inference optimizationAI EngineeringFastAPI/REST, Docker, Kubernetes, Git, GPU deploymentMLOpsMLflow or equivalent; experiment/model lifecycle, monitoring and CI/CD integrationPreferred Domain ExperienceStrong preference for candidates with experience in aerospace, mechanical/manufacturing, automotive, rail, CAD/PLM, engineering drawing automation or technical document intelligence. Exposure to GD&T;, ASME Y14.X, ISO GPS or equivalent drawing standards is highly desirable.EducationBachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Electronics, Mechanical Engineering, Mathematics, Statistics or a related discipline. Master’s degree is preferred.Candidate Profile - Hands-on senior engineer who can code, train/evaluate models, troubleshoot accuracy issues and take AI components into production. - Able to work closely with engineering SMEs and convert standards/domain rules into machine-readable knowledge and validation logic. - Comfortable operating in secure enterprise environments with restricted internet access and on-premises model hosting.

📌 Hiring: Senior Data Scientist (Bengaluru)
🏢 Cyient
📍 Bengaluru