Overview

Qualification: B.Tech/B.E., BCA, B.Sc., M.Tech, MCA, or M.Sc.

Responsibilities

• We are looking for a Technology Lead Computer Vision to lead the design, development, and delivery of innovative computer vision solutions that transform images and video into actionable insights.
• You will work closely with engineers, data scientists, and product teams to define technical direction, develop scalable vision solutions, mentor engineers, and drive projects from prototype to production.
• Lead the end-to-end development of Computer Vision solutions using OpenCV and YOLO , from data understanding and experimentation to production deployment.
• Design and implement object detection pipelines , including preprocessing, model inference, and post-processing.
• Build, train, and fine-tune CNN/deep learning models using PyTorch .
• Conduct experiments, evaluate model performance, and maintain reproducible documentation.
• Drive optimization of vision models for speed, memory, latency, and throughput . Improve model robustness across real-world conditions such as lighting variations, occlusion, motion blur, and scale variations . Apply model optimization techniques such as pruning, quantization, and mixed-precision inference/training .
• Define technical standards for model development, coding, version control, and code reviews.
• Collaborate with product and engineering teams to translate business requirements into scalable technical solutions. Mentor engineers, guide technical troubleshooting, and resolve complex issues across data, training, and inference.
• Support the integration of computer vision models into production environments, including monitoring and continuous improvement.

Qualifications

• The ideal candidate is a hands-on Computer Vision/AI/ML professional with 511 years of experience , strong expertise in OpenCV, YOLO, PyTorch, and Object Detection , and proven experience leading technical initiatives and mentoring engineering teams. .