Senior AI Research Engineer

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

  HuggingFace

  .
• Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges.

• 4-7 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

  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.