Primary Focus
Build and execute L&T;’s enterprise Computer Vision strategy.
Identify and scale use cases for construction progress, safety, QA/QC, industrial inspection, and autonomous robotics.
Architect production-grade CV solutions spanning cameras, drones, robots, edge GPUs, cloud, and digital twins.
Lead deployments across multiple sites and large numbers of camera feeds.
Integrate CV systems with NVIDIA Omniverse / Isaac Sim and enterprise platforms.

Technical Expertise Expected
2D/3D Computer Vision: detection, segmentation, tracking, 3D vision, SLAM, LiDAR + vision sensor fusion.
Advanced AI: Vision Transformers, multimodal AI, VLMs, video analytics.
Frameworks: PyTorch/TensorFlow, OpenCV.
Edge AI: NVIDIA Jetson, TensorRT, ONNX, OpenVINO.
MLOps/Cloud: Docker, Kubernetes, Azure/AWS, Azure ML, Kubeflow, MLflow, CI/CD.
Data/Streaming: video pipelines, Kafka/Spark.

Leadership Responsibilities
Lead multidisciplinary CV/AI/robotics engineering teams.




Translate research and emerging AI technologies into reliable industrial solutions.
Partner with robotics, geospatial, digital-platform, and business teams.
Communicate effectively with CXO-level stakeholders and establish ROI-driven AI programs.
Build MLOps, governance, and model lifecycle practices.

Preferred Background
10+ years in Computer Vision, AI, or Robotics.
Enterprise-scale production deployments.
Experience in construction, oil & gas, power, manufacturing, or infrastructure.
Robotics/autonomous inspection and digital-twin/simulation experience.

Success Is Measured By
Scale — CV deployed across projects/sites and business units.
Business impact — improved safety, productivity, and cost.
Technical performance — accuracy, latency, reliability.
Adoption — successful enterprise-wide adoption of Vision AI.

📌 Computer Vision Lead Enterprise Ai Chennai
🏢 Larsen u0026 Toubro
📍 Chennai