Senior AI Research Engineer

As a Senior AI Research Engineer, 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 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.

● 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