01
TRCD-26-04369
Senior Data Scientist / AI Engineer (Computer Vision, OCR, GenAI, RAG/Graph-RAG)
Hands-on Senior Data Scientist/AI Engineer to build and productionize an automated engineering drawing understanding and validation platform. The role focuses on extracting structured information from complex 2D technical drawings (PDF/DWG/DXF-derived) using Computer Vision and OCR/Document AI, then applying multimodal LLM workflows with strong guardrails plus RAG/Graph-RAG over standards/specs using a Knowledge Graph (e.g., Neo4j). You will deliver production-grade Python/FastAPI services for secure on-prem/air-gapped environments, containerized and deployed on Kubernetes with GPU optimization, and implement MLOps for versioning, tracking, deployment, and monitoring.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Contract
- Experience
- Minimum 6 years and Maximum 10 years
Role overview
Why This Role Matters.
Hands-on Senior Data Scientist/AI Engineer to build and productionize an automated engineering drawing understanding and validation platform. The role focuses on extracting structured information from complex 2D technical drawings (PDF/DWG/DXF-derived) using Computer Vision and OCR/Document AI, then applying multimodal LLM workflows with strong guardrails plus RAG/Graph-RAG over standards/specs using a Knowledge Graph (e.g., Neo4j). You will deliver production-grade Python/FastAPI services for secure on-prem/air-gapped environments, containerized and deployed on Kubernetes with GPU optimization, and implement MLOps for versioning, tracking, deployment, and monitoring.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Develop Computer Vision models for region detection, layout understanding, object detection, segmentation, symbol recognition, view classification and annotation localization.
03
Design OCR/document-processing pipelines for dense technical drawings using tools such as PaddleOCR, Docling, OpenCV, YOLO, Vision Transformers or equivalent frameworks.
04
Build multimodal/LLM workflows for engineering interpretation, structured extraction, contextual reasoning and JSON-based outputs with strong guardrails.
05
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.
06
Implement hybrid validation combining deterministic rule engines, symbolic checks and LLM reasoning; ensure exact geometric/tolerance checks are not delegated solely to LLMs.
07
Create explainable review findings including violated rule, source/citation, confidence, rationale and recommended corrective action.
08
Design Human-in-the-Loop feedback mechanisms to capture accept/reject/edit/override decisions and improve models, prompts, retrieval and rules.
09
Define accuracy benchmarks and golden datasets; track precision, recall, F1, IoU, OCR CER/WER, extraction accuracy, retrieval quality, validation accuracy and hallucination rate.
10
Perform failure analysis, prompt/model benchmarking, regression testing and continuous accuracy improvement.
11
Convert experiments into production-grade Python/FastAPI services; containerize with Docker and support Kubernetes/GPU deployment.
12
Optimize inference latency, GPU memory and throughput for enterprise NVIDIA infrastructure such as H100/A100 or equivalent.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Python
Required
02
SQL
Required
03
OpenCV
Required
04
YOLO
Required
05
Vision Transformers
Required
06
PaddleOCR
Required
07
Docling
Required
08
OCR
Required
09
Document AI
Required
10
PyTorch
Required
11
TensorFlow
Required
12
LLM
Required
13
VLM
Required
14
Multimodal LLM
Required
15
Prompt engineering
Required
16
Structured outputs
Required
17
Function calling
Required
18
RAG
Required
19
Graph-RAG
Required
20
Embeddings
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Python
SQL
Strong software engineering practices
Computer Vision (OpenCV, image preprocessing)
Object detection (e.g., YOLO)
Segmentation and layout understanding
OCR / Document AI (e.g., PaddleOCR, Docling or equivalent)
Deep learning with PyTorch and/or TensorFlow
Model evaluation (precision/recall/F1, IoU, OCR CER/WER) and failure analysis
GenAI/LLM and multimodal/VLM workflows
Prompt engineering with structured/JSON outputs and guardrails
RAG fundamentals (embeddings, chunking, vector search, hybrid retrieval, reranking, query transformation)
Graph-RAG concepts
Knowledge Graph / graph database (Neo4j or equivalent)
Hybrid validation: deterministic rule engines/symbolic checks combined with LLM reasoning
FastAPI/REST service development
Docker
Kubernetes
Git
GPU deployment and inference optimization (latency, memory, throughput)
Preferred
Nice to Have
Experience with engineering drawing automation / technical document intelligence
Domain exposure: aerospace, mechanical/manufacturing, automotive, rail, CAD/PLM
GD&T knowledge
ASME Y14.x familiarity
ISO GPS familiarity
LLM optimization: LoRA/QLoRA, PEFT
Quantization
Fine-tuning and context/inference optimization
Experience with NVIDIA enterprise GPUs (A100/H100 or equivalent)
Human-in-the-loop feedback design for model/prompt/retrieval/rule improvement
Explainability with citations/sources and confidence reporting
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Senior Data Scientist / AI Engineer (Computer Vision, OCR, GenAI, RAG/Graph-RAG)
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