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Are you passionate about Computer Vision, Deep Learning, Real-Time Detection, Pose Estimation, and AI-powered video analytics?

We’re looking for a hands-on Computer Vision Engineer to build and deploy production-grade vision systems capable of working with live video feeds and real-world environmental conditions.

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- Design and implement real-time person and object detection pipelines
- Develop pose estimation and movement analysis models
- Build multi-object tracking systems and maintain identity persistence
- Optimize models for low-latency inference and edge/near-edge deployment
- Handle challenging conditions such as lighting variations, occlusions, and camera angles
- Integrate vision models with video ingestion, streaming, and processing frameworks
- Evaluate and benchmark models using real-world datasets and live feeds
- Continuously improve detection accuracy and tracking stability
- Collaborate with cross-functional teams to deliver business-focused vision solutions

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✅ Solid Computer Vision & Deep Learning experience

✅ Object Detection – YOLO / Faster R-CNN / SSD





✅ Pose Estimation – OpenPose / HRNet / MediaPipe

✅ Multi-Object Tracking – DeepSORT / ByteTrack / OC-SORT

✅ Python

✅ PyTorch or TensorFlow

✅ OpenCV / GStreamer / FFmpeg

✅ Image processing & feature extraction

✅ Model optimization, GPU acceleration & performance tuning

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- TensorRT / ONNX
- Quantization techniques
- Edge deployment & inference optimization
- Experience evaluating precision, recall, tracking accuracy & latency
- Experience balancing accuracy, performance, and cost

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We’re looking for professionals with 3–5 years of Computer Vision Engineering or Applied AI experience and proven hands-on experience building and deploying real-time vision systems in production.

? Interested candidates can share their updated resume at:

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📌 Computer Vision Engineer|| Bangalore || Jaipur
🏢 AppZime Technologies
📍 Jaipur