Machine Learning Engineer

We are a fast-growing pre-construction technology company revolutionizing the way construction estimations are performed. Our goal is to develop intelligent systems that can read architectural and engineering drawings to automate material take-offs and cost estimation.

We are looking for a Machine Learning Engineer to lead the development of AI models that understand construction drawings, extract relevant data, and generate accurate material estimates.

Key Responsibilities:

Develop and deploy deep learning models to:

Extract annotations, text, dimensions using OCR

Interpret legends, tables, and specification sections in drawings

Preprocess architectural/engineering drawings (PDF, DWG, images) for model consumption

Build hybrid models that combine CV, OCR, NLP, and rule-based estimation logic

Design and maintain scalable pipelines for training, inference, and feedback loops

Work closely with domain experts (estimators, civil engineers) to translate business rules into algorithms

Continuously improve model accuracy and robustness using real-world data

Document processes, datasets, and model evaluation techniques

Required Skills & Experience:

5 years of experience in machine learning, especially computer vision and document AI

Proficient in Python and ML frameworks like PyTorch or TensorFlow

Strong experience with OCR (Tesseract, EasyOCR, or cloud OCR APIs)

Hands-on knowledge of object detection (YOLO, Detectron2, Faster R-CNN)

Experience with PDF and CAD parsing (e.g. PDFMiner, ezdxf, AutoCAD APIs)

Knowledge of preprocessing scanned documents and dealing with noise/low quality data

Solid understanding of model evaluation, data labeling, and annotation tools

Nice to Have:

Experience with layout understanding models (Donut, LayoutLM, PubLayNet)

Background in civil engineering or construction tech

Exposure to pricing/estimation logic or ERP systems

Experience deploying ML models in production (Docker, FastAPI, etc.)

Job Type: Full-time

Pay: From Rs200,000.00 per month

Application Question(s):

• Do you have = Candidate must have experience of
  
  
  

1. Computer Vision

2. PyTorch or Tensorflow

3. OCR (Tesseract, EasyOCR, cloud APIs).

4. object detection (YOLO, Detectron2, Faster R-CNN)

5. PDF and CAD parsing (PDFMiner, ezdxf, AutoCAD APIs).

Education:

• Bachelor's (Required)
  
  
  

Experience:

• Machine Learning Engineer Computer Vision & Document AI : 5 years (Required)