Computer Vision Lead - Enterprise AI

Job description

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.