[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Larsen & Toubro jobs](https://jobs.opennash.com/companies/larsen-toubro/) · [Search jobs](/search/) Larsen & Toubro # Jr. Computer Vision India>Tamil Nadu>Chennai Head Qrs. Listed on Larsen & Toubro’s official careers site. Posted October 15, 2026. Check that it is still open and apply there. [Apply on Larsen & Toubro’s careers site →](https://larsentoubrocareers.peoplestrong.com/job/detail/LNT_-CV_1896606) [OpenNash Jobs](https://jobs.opennash.com/) / [Larsen & Toubro](https://jobs.opennash.com/companies/larsen-toubro/) / Jr. Computer Vision ## Job description ### Job Title Computer Vision Lead Job Title: Computer Vision Lead – Enterprise AI (10+ years exp) ### Role Summary We at L&T are seeking a Computer Vision Lead/Strategist to drive enterprise-scale vision AI initiatives across L&T businesses (construction, energy, manufacturing, and smart infrastructure). This role will focus on designing, deploying, and scaling production-grade CV systems integrated with robotics, edge AI, and digital twin platforms. The candidate will combine deep technical expertise with strategic leadership to enable real-world impact, operational efficiency, and safety improvements. ________________________________________ Key Responsibilities - Enterprise Vision AI Leadership - Define and execute computer vision strategy aligned with L&T’s digital and AI roadmap. ### Identify and scale high-impact use cases - Construction progress tracking, QA/QC & Safety Monitoring - Industrial inspections (refineries, manufacturing, power plants) - Robotics-enabled autonomous inspection ________________________________________ Solution Architecture & Deployment ### Architect end-to-end CV systems spanning - Edge devices (cameras, drones, robots) o AI models (2D/3D vision, video analytics) - Cloud & digital twin platforms - Lead large-scale deployments across multiple sites and thousands of camera feeds. - Enable integration with NVIDIA Omniverse / Isaac Sim and enterprise platforms. ________________________________________ Advanced Computer Vision & AI ### Drive adoption of state-of-the-art technologies - Vision Transformers, multimodal AI o 3D vision, SLAM, sensor fusion (LiDAR + vision) - Translate research into robust, scalable industrial solutions. ________________________________________ Edge AI & MLOps - Optimize models for real-time edge deployment (Jetson, embedded GPUs). ### Build scalable pipelines using - TensorRT, ONNX, OpenVINO o Docker, Kubernetes, Azure ML / Kubeflow - Establish MLOps, CI/CD, and model lifecycle governance. ________________________________________ Cross-Functional Leadership - Collaborate with robotics, geospatial and other digital platform teams. - Engage business stakeholders to drive ROI-based AI adoption. - Mentor and scale high-performing CV engineering teams. ________________________________________ Required Qualifications - 10+ years of experience in Computer Vision / AI / Robotics - Strong track record in enterprise-scale Vision AI deployments - Experience leading multi-disciplinary engineering teams ________________________________________ Technical Skills ### Core - PyTorch / TensorFlow, OpenCV, object detection, segmentation, tracking ### Advanced - 3D vision, SLAM, video analytics, multimodal AI, VLMs ### Edge & Deployment - TensorRT, ONNX, OpenVINO, Jetson ### Cloud & MLOps - Azure/AWS, MLflow, Kubeflow, Docker, Kubernetes ### Data Systems - Video pipelines, Kafka/Spark (preferred) ________________________________________ Preferred Experience ### Industrial domains - construction, oil & gas, power, infrastructure - Robotics and autonomous inspection systems - Digital twins, simulations (NVIDIA Omniverse / Isaac Sim) ________________________________________ Success Metrics - Scalable CV deployments across projects/sites - Measurable improvements in safety, productivity, and cost - Model performance (accuracy, latency, reliability) - Adoption across multiple L&T business units ________________________________________ Leadership Expectations - Strategic thinker with strong execution capability - Ability to influence CXO-level stakeholders - Drive innovation in AI, Robotics, and digital twin ecosystems ## Qualifications Bachelor of Engineering (BE) ## At a glance - Posted by the employer: Oct 15, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 4 days - Location: India>Tamil Nadu>Chennai Head Qrs.[Apply on Larsen & Toubro’s careers site →](https://larsentoubrocareers.peoplestrong.com/job/detail/LNT_-CV_1896606) ## More jobs at Larsen & Toubro ### [BIM Modeller](https://jobs.opennash.com/companies/larsen-toubro/jobs/dc80428ed5d36342cf51/) India>Tamil Nadu>Chennai Head Qrs. ### [DWET - Civil Execution](https://jobs.opennash.com/companies/larsen-toubro/jobs/d02f928cad1a6bf23320/) India>Tamil Nadu>Chennai Head Qrs. ### [DWET - Senior EHS Manager](https://jobs.opennash.com/companies/larsen-toubro/jobs/5735e1624f122dbd5dbb/) India>Tamil Nadu>Chennai Head Qrs. ### [EHS -E Band -PAH](https://jobs.opennash.com/companies/larsen-toubro/jobs/198696e7d2ef2fc7b688/) India>Tamil Nadu>Chennai Head Qrs. ## Similar jobs at other companies ### [Lead Engineer, Senior - Computer Vision](https://jobs.opennash.com/companies/qualcomm/jobs/9091fc5b903b9cfb74a1/) Qualcomm · Bangalore, India ### [Head of Computer Vision](https://jobs.opennash.com/companies/siemens-energy/jobs/b1cac4133e7fc42c8c15/) Siemens Energy ### [Senior Computer Vision Algorithm Engineer – Hardware Co‑Optimization (Edge AI/SoC)](https://jobs.opennash.com/companies/qualcomm/jobs/5e649392e37e5bf8123e/) Qualcomm · Hsinchu City, Taiwan, Taipei, Taipei City ### [Computer Vision/Machine Learning Engineer (Photography Intelligence)](https://jobs.opennash.com/companies/apple/jobs/18cb8ab3f9b2c955b163/) Apple · Beijing, China ### [Computer Vision Engineer](https://jobs.opennash.com/companies/continental/jobs/df91208c7a02de47d61d/) Continental · He Fei Shi, An Hui Sheng, China OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)