Research Engineer

Job Description

Position Description:
As a Research Engineer-II, you will be an integral part of our AI research team focused on transforming the construction industry through cutting-edge deep learning, computer vision and NLP technologies. You will contribute to the development of intelligent systems for automated construction take-off and estimation by working with unstructured data such as blueprint, drawings (including SVGs), and PDF documents. In this role, you will support the end-to-end lifecycle of AI-based solutions — from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.
Roles & Responsibilities

• Contribute to research and development initiatives focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related data.
• Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files.
• Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs).
• Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility.
• Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications.
• Write clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or Hugging Face.
• Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges.

Skills & Requirements

• 1–3 years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep Learning.
• Solid understanding of image processing, visual document understanding, and feature extraction from visual data.
• Familiarity with SVG graphics, NLP, or LLM-based architectures is a plus.
• Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning.
• Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and Hugging Face Transformers. •

Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation). - Good to have

• Experience with version control systems (e.g., Git), project tracking tools (e.g., JIRA), and cloud environments (GCP, AWS, or Azure).
• Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines.
• Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate.
• Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills.

Job Type: Contractual / Temporary
Contract length: 6 months

Pay: ₹140,000.00 - ₹150,000.00 per month

Work Location: In person