Computer Vision Engineer -DSA
vConstruct Private Limited (company site, opens in a new tab)4–8 yrsPuneOn-siteDirect career pageEst. 12–28 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy AI-powered computer vision solutions to automate and augment construction workflows using diverse data sources like images, videos, drone imagery, LiDAR, and 3D data.
- Build, optimize, and fine-tune advanced models (e.g., CNN, Vision Transformers, YOLO, Mask R-CNN) for tasks including object detection, segmentation, OCR, and video analytics in production environments.
- Lead dataset engineering efforts including annotation strategy, data augmentation, synthetic data generation, and collaborate with AI Engineers, Data Scientists, and software teams for production-ready computer vision systems.
Minimum Requirements
- 4–8 years of experience in Computer Vision with hands-on skills in AI/ML development and production deployment.
- Proficiency in Python and deep learning frameworks with experience in CNNs, Vision Transformers, and foundation vision models.
- Experience in building and optimizing models for object detection, segmentation, video analytics, OCR, and handling large-scale image/video datasets.
- Work Experience Required: 4–8 years in Computer Vision; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced Computer Vision Engineer with strong background in deploying scalable AI solutions in production, particularly in construction or engineering domains.
- Proficient in advanced computer vision architectures and foundation models, comfortable working end-to-end from dataset design to deployment and model optimization.
- Collaborative and able to work in Agile teams alongside AI engineers, data scientists, BIM experts, and software engineers on multi-disciplinary projects involving multimodal AI and visual intelligence.