Job Description
<p><p><b>About the job :</b><br/><br/><b>About Us</b> :</p><p><br/></p><p>- Attentive.ai is a leading provider of landscape and property management software powered by cutting-edge Artificial Intelligence (AI).<br/><br/></p><p> Our software is designed to optimize workflows and help businesses scale up effortlessly in the outdoor services industry.<br/><br/></p><p> Our Automeasure software caters to landscaping, snow removal, paving maintenance, and facilities maintenance businesses.<br/><br/></p><p>We are also building Beam AI, an advanced AI engine focused on automating construction take-off and estimation workflows through deep AI.<br/><br/></p><p> Beam AI is designed to extract intelligence from complex construction drawings, helping teams save time, reduce errors, and increase bid efficiency.<br/><br/></p><p>Trusted by top US and Canadian sales teams, we are backed by renowned investors such as Sequoia Surge and InfoEdge Ventures.<br/><br/><b>Position Description :</b><br/><br/></p><p>As a Staff AI 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.<br/><br/></p><p> 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.<br/><br/></p><p>In this role, you will support the end-to-end lifecycle of AI-based solutions from prototyping and experimentation to deployment in production.<br/><br/></p><p> Your contributions will directly impact the scalability, accuracy, and efficiency of our products.<br/><br/><b>Roles & Responsibilities :</b><br/><br/></p><p>- Contribute to research and development initiatives focused on Computer Vision, Image Processing, and Deep Learning applied to construction-related data.<br/><br/></p><p>- Build and optimize models for extracting insights from documents such as blueprints, scanned PDFs, and SVG files.<br/><br/></p><p>- Contribute development of multi-modal models that integrate vision with language-based features (NLP/LLMs).<br/><br/></p><p>- Follow best data science and machine learning practices, including data-centric development, experiment tracking, model validation, and reproducibility.<br/><br/></p><p>- Collaborate with cross-functional teams including software engineers, ML researchers, and product teams to convert research ideas into real-world applications.<br/><br/></p><p>- Write clean, scalable, and production-ready code using Python and frameworks like PyTorch, TensorFlow, or HuggingFace.<br/><br/></p><p>- Stay updated with the latest research in computer vision and machine learning and evaluate applicability to construction industry challenges.<br/><br/><b>Skills & Requirements :</b><br/><br/></p><p>- 5 to 6+ years of experience in applied AI/ML and research with a strong focus on Computer Vision and Deep Learning.<br/><br/></p><p>- Solid understanding of image processing, visual document understanding, and feature extraction from visual data.<br/><br/></p><p>- Familiarity with SVG graphics, NLP, or LLM-based architectures is a plus.<br/><br/></p><p>- Deep understanding of unsupervised learning techniques like clustering, dimensionality reduction, and representation learning.<br/><br/></p><p>- Proficiency in Python and ML frameworks such as PyTorch, OpenCV, TensorFlow, and HuggingFace Transformers.<br/><br/></p><p>- Hands-on experience with model optimization techniques (e.g., quantization, pruning, knowledge distillation).<br/><br/></p><p><b>Good to have :</b><br/><br/></p><p>- Experience with version control systems (e.g., Git), project tracking tools (e.g., JIRA), and cloud environments (GCP, AWS, or Azure).<br/><br/></p><p>- Familiarity with Docker, Kubernetes, and containerized ML deployment pipelines.<br/><br/></p><p>- Strong analytical and problem-solving skills with a passion for building innovative solutions; ability to rapidly prototype and iterate.<br/><br/></p><p>- Comfortable working in a fast-paced, agile, startup-like environment with excellent communication and collaboration skills.<br/><br/><b>Why Work With Us ?</b><br/><br/></p><p>- Be part of a visionary team building a first-of-its-kind AI solution for the construction industry.<br/><br/></p><p>- Exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning.<br/><br/></p><p>- Culture that encourages ownership, innovation, and growth.<br/><br/></p><p>- Opportunities for fast learning, mentorship, and career progression</p><br/></p> (ref:hirist.tech)