Research Engineer-II

You will be working as a Research Engineer-II at Attentive.ai, contributing to the development of intelligent systems for automated construction take-off and estimation through cutting-edge deep learning, computer vision, and NLP technologies. Your role will involve supporting the end-to-end lifecycle of AI-based solutions, impacting the scalability, accuracy, and efficiency of products directly. **Roles & Responsibilities:** - Contribute to research and development initiatives focusing on Computer Vision, Image Processing, and Deep Learning in construction-related data. - Build and optimize models for extracting insights from documents like blueprints, scanned PDFs, and SVG files. - Aid in the development of multi-modal models integrating vision with language-based features such as NLP/LLMs. - Follow best practices in data science and machine learning, including data-centric development, experiment tracking, model validation, and reproducibility. - Collaborate with cross-functional teams to translate 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 assess applicability to construction industry challenges. **Skills & Requirements:** - 3-5 years of experience in applied AI/ML and research with a strong emphasis on Computer Vision and Deep Learning. - Proficient in 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) is beneficial. - Experience with version control systems, project tracking tools, and cloud environments. - 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. You will have the opportunity to work in a visionary team at Attentive.ai, developing a groundbreaking AI solution for the construction industry. Additionally, you will gain exposure to real-world AI deployment and cutting-edge research in vision and multimodal learning. The company culture encourages ownership, innovation, and growth, providing opportunities for fast learning, mentorship, and career progression.,