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# Computer Vision Scientist

- **Company:** L&T Technology Services
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, OpenCV, Software Deployment, Pytorch, Model Validation, Discretization, Information Technology, Machine Learning Operations, TensorRT, Video Analysis, NVIDIA Jetson, Lidar
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_857687cca82627889d06245c5ac49ac0

## About the Role

* Master's or PhD in Computer Science, Electrical Engineering, AI, Applied Mathematics, or a related field (PhD preferred).
 * 8-15 years in computer vision and machine learning, with a track record of production deployments. Industrial, manufacturing, construction, or infrastructure experience is strongly preferred.
 * Deep expertise in CNNs, vision transformers, and modern detection and segmentation architectures.
 * Strong Python and C++, with PyTorch, OpenCV, and 3D libraries such as Open3D or PCL; hands-on video analytics and edge AI deployment. Publications at CVPR, ICCV, ECCV, NeurIPS, or similar venues are a plus.

## Description

Help L&T businesses see, measure, and understand the physical world at scale. You will apply state-of-the-art 2D and 3D vision to high-impact problems such as quality inspection, construction progress monitoring, worker safety, and asset health, and own the CoE's reusable vision platform for Engineering, Manufacturing, Infrastructure, Energy, and Defence., * Design, train, and optimize models for detection, segmentation, tracking, pose estimation, and anomaly detection, including adapting foundation models (SAM, DINOv2, YOLO, ViT) to industrial and site imagery.

 * Build 3D vision capabilities: depth estimation, point-cloud processing, photogrammetry, and scene reconstruction.
 * Take solutions from proof of concept to production with clear business-value metrics, and integrate outputs with BIM, digital twins, and enterprise systems.
 * Set data acquisition and labeling standards across camera, drone, thermal, and LiDAR sources; use synthetic and self-supervised methods to reduce annotation effort.
 * Optimize models for real-time edge inference (NVIDIA Jetson, industrial cameras) with quantization, pruning, and TensorRT or OpenVINO; work with MLOps on monitoring and retraining.
 * Mentor scientists and engineers, contribute to the CoE repository, and publish or file patents.

First 12 Months

 * Define the CoE computer vision roadmap and reusable vision platform.
 * Deliver 3-5 vision proofs of concept, at least 2 scaled to production.
 * Establish a standard annotation and model evaluation framework, and publish an edge deployment reference architecture.