Jr. Computer Vision

Jr. Computer Vision

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