- Design and develop AI-powered computer vision solutions for construction and engineering applications.
- Build and optimize models for image and video analytics, visual inspection, object detection, segmentation, OCR, tracking, and quality assessment.
- Collaborate with AI engineers and domain experts to deliver scalable, production-ready vision solutions.
- Build and train CNN, Vision Transformer (ViT), DETR, YOLO, Mask R-CNN, Segment Anything (SAM), Grounding DINO, CLIP, Florence, and related architectures.
- Fine-tune foundation vision models.
- Apply transfer learning and self-supervised learning techniques.
- Build multimodal AI systems combining vision and language models.
- Design and manage image and video datasets for computer vision applications.
- Develop annotation strategies and ensure high-quality labeled datasets.
- Apply data augmentation, synthetic data generation, and active learning techniques to improve model performance.
- Evaluate latest Computer Vision research.
- Experiment with emerging vision foundation models.
- Prototype innovative AI solutions.
- Publish technical findings internally.
- Strong programming skills in Python with experience in AI/ML development.
- Hands-on experience with Deep Learning and Computer Vision frameworks.
- Experience developing solutions for Object Detection, Image Classification, Segmentation, OCR, Video Analytics, and Visual Inspection.
- Experience with modern Computer Vision architectures, including CNNs, Vision Transformers, and Foundation Vision Models.
- Strong understanding of image and video data processing, model training, evaluation, and optimization.
- Experience preparing and improving datasets through annotation, augmentation, and quality validation.
- Familiarity with GPU-based model training and inference optimization.
- Working knowledge of Vision-Language Models (VLMs) and Multimodal AI is preferred.
- Experience integrating AI models into production applications and collaborating with software engineering teams
- 3–7 years of Computer Vision experience.
- Experience deploying production AI solutions.
- Experience training custom deep learning models.
- Experience with GPU optimization.
- Experience handling large-scale image/video datasets.
- Experience working in Agile product teams.
About vConstruct :
vConstruct specializes in providing high quality Building
Information Modeling and Construction Technology services geared towards
construction projects. vConstruct is a wholly owned subsidiary of DPR
Construction.
VConstruct has
100+ team members working on Software Development, Data Analytics, Data
Engineering and AI/ML. We have matured Data Science practice and growing at
accelerated pace. For more
information, please visit www.vconstruct.com
About DPR Construction:
DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationships—DPR is a truly great company. For more information, please visit www.dpr.com