Jr. Computer Vision

Job description

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
• Industrial inspections (refineries, manufacturing, power plants)
• 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)
• 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 strong execution capability
• Ability to influence CXO-level stakeholders
• Drive innovation in AI, Robotics, and digital twin ecosystems

Qualifications

Bachelor of Engineering (BE)