Computer Vision Technology Lead

Computer Vision Technology Lead

Experience: 5 to 11 years

Locations: Bengaluru, Hyderabad, Chennai, Pune, Thiruvananthapuram, Mysuru, Bhubaneswar, Chandigarh, Hubli, Jaipur

Work Mode: Hybrid

Job Overview

We are seeking a seasoned Computer Vision Technology Lead to architect, develop, and implement cutting-edge computer vision solutions that transform image and video data into meaningful insights. The successful candidate will possess deep expertise in OpenCV, YOLO, PyTorch, and deep learning methodologies, with a proven ability to lead technical projects, mentor engineering teams, and deliver scalable, production-level vision applications.

Primary Responsibilities

• Oversee the full lifecycle development of computer vision systems utilizing OpenCV and YOLO frameworks.
• Design and build object detection pipelines, encompassing data preprocessing, inference, and post-processing techniques.
• Develop, train, and refine CNN-based models leveraging PyTorch to achieve optimal performance.
• Enhance model accuracy, reduce latency, and improve memory efficiency and throughput.
• Set and enforce technical standards related to coding practices, model versioning, experimentation protocols, and code review processes.
• Work closely with product managers, data scientists, and engineering teams to convert business needs into effective technical solutions.
• Provide mentorship to team members, troubleshoot complex technical issues, and ensure on-time project delivery.
• Support the integration of vision models into production environments, including ongoing monitoring and iterative improvements.

Essential Skills

• Computer Vision
• OpenCV
• YOLO
• Object Detection
• PyTorch
• Convolutional Neural Networks (CNN)
• Python Programming
• Deep Learning Techniques

Desired Skills

• Experience in enhancing model robustness against varying lighting, occlusion, motion blur, and scale challenges.
• Knowledge of dataset iteration, ablation studies, and metric-based model evaluation.
• Familiarity with optimization techniques such as quantization, pruning, and mixed-precision inference.
• Proven experience deploying computer vision models in production settings.
• Strong leadership capabilities, including mentoring, sprint planning, and cross-functional collaboration.

Educational Qualifications

B.Tech, BCA, B.Sc., M.Tech, MCA, or M.Sc. degree required.