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 o Industrial inspections (refineries, manufacturing, power plants) o 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) o 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 robust execution capability

- Ability to influence CXO-level stakeholders

- Drive innovation in AI, Robotics, and digital twin ecosystems

📌 Jr. Computer Vision (Chennai Metropolitan Area)
🏢 Larsen u0026amp; Toubro
📍 Chennai Metropolitan Area