AI/ML Research Engineer - NLP/LLM

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, 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).

- 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.