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.

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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

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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.

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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.

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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.

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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.

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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

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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)

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Preferred Experience

- Industrial domains: construction, oil & gas, power, infrastructure
- Robotics and autonomous inspection systems
- Digital twins, simulations (NVIDIA Omniverse / Isaac Sim)

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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

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Leadership Expectations

- Strategic thinker with solid execution capability
- Ability to influence CXO-level stakeholders
- Drive innovation in AI, Robotics, and digital twin ecosystems

📌 Jr. Computer Vision (Tamil Nadu)
🏢 LT-Larsen u0026 Toubro
📍 Tamil Nadu