Computer Vision Engineer

Role & responsibilities

Youll lead the development and optimization of real-time video analytics pipelines for Sakshi AI. From object detection to behavioral insights, your work will power smarter decisions for retail chains across India and beyond.

Preferred candidate profile

• Design and deploy computer vision models for object tracking, activity recognition, and anomaly detection
• Optimize inference pipelines for edge devices and cloud deployment
• Integrate CV modules with live CCTV feeds and ThinkNeurals dashboard ecosystem
• Collaborate with product and UX teams to translate insights into actionable alerts
• Conduct field testing and validation across diverse retail environments
• Stay updated with the latest in vision transformers, YOLO variants, and multimodal fusion

Requirements

• 24 years of hands-on experience in computer vision and deep learning
• Proficiency in Python, OpenCV, PyTorch/TensorFlow
• Experience with real-time video processing, edge deployment, or ONNX optimization
• Familiarity with CCTV protocols, IP camera feeds, and video encoding formats
• Strong understanding of model evaluation metrics and data annotation workflows
• Bonus: Experience with retail analytics, pose estimation, or multi-camera setups

What We Offer

• Ownership of core AI modules in a fast-growing product
• Access to real-world retail data and deployment environments
• Competitive compensation + ESOPs
• A chance to shape the future of intelligent retail infrastructure