About the Role
You’ll work alongside experienced engineers to improve our AI-enabled plan ingestion pipeline—from raw PDFs to clean, dependable outputs that power takeoff, design, and downstream automation. You’ll begin by contributing to well-scoped projects and supporting senior engineers, with the opportunity to take on greater ownership as you grow.
What You’ll Do
- Support the development and improvement of machine learning systems for object detection, segmentation, document understanding, and information extraction from building plans
- Train, evaluate, and debug computer vision models using real-world construction data
- Help build and maintain datasets, labeling workflows, preprocessing pipelines, and evaluation tools
- Contribute to experiments involving computer vision, document understanding, and related machine learning techniques
- Assist with integrating models into production applications and APIs
- Write clean, testable, and maintainable Python code
- Investigate model failures and help identify opportunities to improve accuracy and reliability




- Collaborate with senior engineers to understand technical requirements and turn them into working solutions
- Document experiments, results, decisions, and lessons learned
- Learn and apply engineering practices for testing, deployment, observability, and maintainability

Who We’re Looking For
- 1–2 years of skilled, internship, research, or equivalent project experience in machine learning, computer vision, or a closely related area
- A degree in computer science, engineering, mathematics, data science, or a related technical field, or equivalent practical experience
- Strong Python fundamentals and experience using PyTorch or a similar deep learning framework
- Familiarity with computer vision tasks such as object detection, image segmentation, classification, or OCR
- Basic understanding of image processing concepts and tools such as OpenCV
- Familiarity with Linux and Git
- Experience working with

📌 Junior Lead ML Engineer (India)
🏢 Benchmark Construction Technology
📍 India