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:
o 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:
o 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:
o 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:
o 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