Position Description:

Roles & Responsibilities

• Contribute to research and development initiatives focused on Computer Vision or NLP 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 HuggingFace.
• Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges.

Skills & Requirements

• 4-7 years of experience in applied AI/ML and research with a strong focus on Computer Vision or NLP with state of the art Deep Learning.
• Bachelor’s degree in CSE, AI/ML, Data Science & Engineering, MnC, or EE from a Tier-1 engineering institute preferred.
• Prior Experience working with large datasets and models.
• Solid understanding of image processing, visual document understanding, and feature extraction from visual data.
• Solid understanding of transformers, NLP, or LLM based architectures.
• Familiarity with SVG graphics 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 HuggingFace 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.

Why Work With Us?

• Be part of a visionary team building a first-of-its-kind AI solution for the construction industry.
• Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning.
• Culture that encourages ownership, innovation, and growth.
• Opportunities for fast learning, mentorship, and career progression.