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 Skills Computer Vision & Deep Learning

- Object Detection: YOLO, Faster R-CNN, SSD

- Pose Estimation: Open Pose, HRNet, Media Pipe

- Multi-Object Tracking: DeepSORT, Byte Track, OC-SORT

Programming & Frameworks

- Python





- PyTorch or Tensor Flow

- 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.

- Solid 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 & Pose / Movement Analysis (India)
🏢 Durapid Technologies Private
📍 India