What You'll Do
Design and develop real-time computer vision pipelines for person and object detection.
Build pose estimation and movement analysis models to interpret posture, gestures, and motion.
Develop multi-object tracking systems with identity persistence across video frames.
Optimize AI models for low-latency inference on edge and near-edge devices.
Ensure reliable performance across varying lighting conditions, camera angles, and occlusions.
Integrate vision models with live video streaming and processing frameworks.
Evaluate and benchmark models using real-world datasets and live video feeds.
Collaborate with cross-functional teams to deliver scalable AI solutions.
Continuously improve detection accuracy, tracking stability, and inference performance.
Experience Required
5+ years of hands-on experience in Computer Vision or Applied AI.
Experience deploying real-time vision systems in production.
Robust exposure to live video feeds, real-world datasets, and challenging deployment settings.
What You'll Build
You'll contribute to next-generation AI-powered vision systems capable of:
Real-time human detection and tracking
Pose and movement analysis
Behavioral analytics
Intelligent video understanding
Scalable AI solutions for real-world applications