Computer Vision Engineer|| Bangalore || Jaipur
AppZime Technologies ยท Jaipur, Rajasthan, India
Apply & track with Apply Edge๐ ๐ช๐ฒโ๐ฟ๐ฒ ๐๐ถ๐ฟ๐ถ๐ป๐ด | ๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ ๐ฉ๐ถ๐๐ถ๐ผ๐ป ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟAre you passionate about Computer Vision, Deep Learning, Real-Time Detection, Pose Estimation, and AI-powered video analytics?Weโre 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.๐ ๐๐ ๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ: ๐ฏโ๐ฑ ๐ฌ๐ฒ๐ฎ๐ฟ๐๐ ๐๐ผ๐ฐ๐ฎ๐๐ถ๐ผ๐ป: ๐๐ฎ๐ถ๐ฝ๐๐ฟ / ๐๐ฎ๐ป๐ด๐ฎ๐น๐ผ๐ฟ๐ฒ๐ผ ๐ฅ๐ผ๐น๐ฒ: ๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ ๐ฉ๐ถ๐๐ถ๐ผ๐ป ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ ๐ฅ ๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
- 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 ๐ง ๐ ๐๐๐-๐๐ฎ๐๐ฒ ๐ฆ๐ธ๐ถ๐น๐น๐โ Strong Computer Vision & Deep Learning experienceโ Object Detection โ YOLO / Faster R-CNN / SSDโ Pose Estimation โ OpenPose / HRNet / MediaPipeโ Multi-Object Tracking โ DeepSORT / ByteTrack / OC-SORTโ Pythonโ PyTorch or TensorFlowโ OpenCV / GStreamer / FFmpegโ Image processing & feature extractionโ Model optimization, GPU acceleration & performance tuning โก ๐๐ผ๐ผ๐ฑ ๐๐ผ ๐๐ฎ๐๐ฒ
- TensorRT / ONNX
- Quantization techniques
- Edge deployment & inference optimization
- Experience evaluating precision, recall, tracking accuracy & latency
- Experience balancing accuracy, performance, and cost ๐ฏ ๐๐ฑ๐ฒ๐ฎ๐น ๐๐ฎ๐ป๐ฑ๐ถ๐ฑ๐ฎ๐๐ฒWeโre looking for professionals with 3โ5 years of Computer Vision Engineering or Applied AI experience and proven hands-on experience building and deploying real-time vision systems in production.๐ฉ Interested candidates can share their updated resume at:[๐ฝ๐ฟ๐ถ๐๐ฎ.๐ฐ๐ต๐ฎ๐๐ต๐ฎ๐ป@๐ฎ๐ฝ๐ฝ๐๐ถ๐บ๐ฒ.๐ฐ๐ผ๐บ]๐ ๐ฃ๐น๐ฒ๐ฎ๐๐ฒ ๐บ๐ฒ๐ป๐๐ถ๐ผ๐ป ๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ ๐ฉ๐ถ๐๐ถ๐ผ๐ป ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟโ ๐ถ๐ป ๐๐ต๐ฒ ๐๐๐ฏ๐ท๐ฒ๐ฐ๐ ๐น๐ถ๐ป๐ฒ.#๐๐ถ๐ฟ๐ถ๐ป๐ด #๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ๐ฉ๐ถ๐๐ถ๐ผ๐ป #๐๐ผ๐บ๐ฝ๐๐๐ฒ๐ฟ๐ฉ๐ถ๐๐ถ๐ผ๐ป๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ #๐๐๐๐ผ๐ฏ๐ #๐๐ฒ๐ฒ๐ฝ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด #๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด #๐ข๐ฏ๐ท๐ฒ๐ฐ๐๐๐ฒ๐๐ฒ๐ฐ๐๐ถ๐ผ๐ป #๐ฌ๐ข๐๐ข #๐ฃ๐ผ๐๐ฒ๐๐๐๐ถ๐บ๐ฎ๐๐ถ๐ผ๐ป #๐ข๐ฝ๐ฒ๐ป๐๐ฉ #๐ฃ๐๐ง๐ผ๐ฟ๐ฐ๐ต #๐ง๐ฒ๐ป๐๐ผ๐ฟ๐๐น๐ผ๐ #๐๐ฒ๐ฒ๐ฝ๐ฆ๐ข๐ฅ๐ง #๐๐๐๐ฒ๐ง๐ฟ๐ฎ๐ฐ๐ธ #๐๐๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ #๐๐ฎ๐ป๐ด๐ฎ๐น๐ผ๐ฟ๐ฒ๐๐ผ๐ฏ๐ #๐๐ฎ๐ถ๐ฝ๐๐ฟ๐๐ผ๐ฏ๐ #๐ง๐ฒ๐ฐ๐ต๐๐ผ๐ฏ๐