Research Engineer-II

Beam AI; Dadri; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Opportunities for fast learning

Mentorship and career progression

Innovative and ownership-driven culture

Job summary

Beam AI is hiring a Research Engineer-II to advance AI solutions in the construction industry. You will work on cutting-edge technologies in computer vision and deep learning, contributing to the development of intelligent systems for automated construction take-off. The role requires 3–5 years of experience in applied AI/ML.

Join a visionary team that values innovation and growth, with opportunities for mentorship and career progression in a fast-paced environment.

Qualifications

• 3–5 years of experience in applied AI/ML and research.
• Solid understanding of image processing and visual document understanding.
• Proficiency in Python and ML frameworks like PyTorch and TensorFlow.

Responsibilities

• Contribute to research in Computer Vision and Deep Learning.
• Build and optimize models for extracting insights from visual data.
• Collaborate with cross‑functional teams on real‑world applications.

Skills

Applied AI/ML

Computer Vision

Deep Learning

Python

Model Optimization

Image Processing

Tools

PyTorch

TensorFlow

OpenCV

HuggingFace Transformers

Docker

Kubernetes

Job description

About Attentive.ai

Attentive.ai is transforming the field services and construction industries with our flagship AI solution—Beam AI. Our platform empowers businesses to double their bidding capacity and accelerate growth through automation and intelligent insights. Over 900 businesses across the U.S. and Canada already use our products to boost sales velocity and streamline operations. Backed by Insight Partners, Peak XV (Surge), InfoEdge, Tenacity and Vertex Ventures, we’re on a mission to make advanced AI tools accessible, practical, and impactful in the real world.

Position Description

As a Research Engineer-II, 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. You will contribute to the development of intelligent systems for automated construction take‑off and estimation by working with unstructured data such as blueprints, drawings (including SVGs), and PDF documents.

In this role, you will support the end‑to‑end lifecycle of AI‑based solutions—from prototyping and experimentation to deployment in production. Your contributions will directly impact the scalability, accuracy, and efficiency of our products.

Roles & 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 to the 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.

Skills & Requirements

• 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.

Why Work With Us?

• 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.