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.
Requirements :
5 - 6+ 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, dimensionalityreduction, 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).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.(ref : hirist.tech)