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.

Required SkillsComputer Vision & Deep Learning
- Object Detection: YOLO, Faster R-CNN, SSD
- Pose Estimation: OpenPose, HRNet, MediaPipe
- Multi-Object Tracking: DeepSORT, ByteTrack, OC-SORT

Programming & Frameworks
- Python




- PyTorch or TensorFlow
- OpenCV
- GStreamer / FFmpeg

Additional Expertise
- Image Processing & Feature Extraction
- GPU Acceleration & Performance Optimization
- TensorRT, ONNX, Quantization
- Real-time Video Processing
- Model Evaluation (Precision, Recall, Tracking Accuracy, Latency)

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 environments.

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

📌 Computer Vision Engineer – Detection (Jaipur)
🏢 Durapid technologies
📍 Jaipur