- Contribute to research and development initiatives focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related data.
- Bachelor’s degree in CSE, AI/ML, Data Science & Engineering, MnC, or EE from a Tier-1 engineering institute preferred.
- 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.
- 3–5 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.
- 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.
Skills Required
- 3–5 years of experience in applied AI/ML and research, focused on computer vision and deep learning
- Proficiency in Python
- Proficiency with machine learning frameworks including PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers
- Understanding of image processing, visual document understanding, and feature extraction
- Understanding of unsupervised learning, including clustering, dimensionality reduction, and representation learning
- Experience with model optimization techniques such as quantization, pruning, and knowledge distillation
- Experience with Git, JIRA, and cloud environments such as GCP, AWS, or Azure
- Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines
- Bachelor’s degree in CSE, AI/ML, Data Science and Engineering, Mathematics and Computing, or Electrical Engineering from a Tier-1 engineering institute
- Familiarity with SVG graphics, NLP, or LLM-based architectures
- Strong analytical, problem-solving, communication, and collaboration skills
What We Do
Attentive.ai is the #1 landscape management software provider with end-to-end automation for all field services businesses across the landscaping, asphalt and paving, facilities maintenance, and snow removal industry. Our software- powered by cutting-edge Artificial Intelligence (AI), is designed to optimize your workflows and help you scale effortlessly. Our property measurement software, Automeasure, caters to landscaping maintenance and construction, paving maintenance and construction, facilities maintenance, and snow removal businesses. Automate your takeoffs on up-to-date aerial imagery and blueprints, helping sales teams save time, bid more, and win more. Our landscape management software, Accelerate, arms you with a truly end-to-end solution for all commercial landscape maintenance and construction jobs through automated workflows. Over 500 businesses across the field services industry—landscaping, snow management, paving maintenance, construction, and facilities maintenance industries in the US and Canada trust Attentive.ai to drive their revenue. This includes the most successful sales teams, like those at U.S. Lawns, Juniper Landscaping, Maldonado Nursery & Landscaping, United Land Services, Elements Mountain Company, Beary Landscaping, Paved Assets, East Coast Facilities, BrightView, Case Snow, and LandCare. Backed by marquee investors, including Sequoia Surge and InfoEdge Ventures, we are building to solve the biggest challenges facing the outdoor services businesses.
