We are looking for a passionate and curious individual to join our Vision AI team. You will work on real\-world computer vision problems — from training object detection models to deploying them on local and cloud servers. This is a hands\-on role ideal for freshers or candidates with up to 1 year of experience who are eager to build and learn fast.
▪Collect, annotate and preprocess image/video datasets from open sources like Kaggle, Roboflow etc.
▪Train and fine\-tune YOLO (or other detection models) for custom object detection tasks
▪Work with RTSP streams for real\-time video feed processing
▪Optimize model inference to achieve target FPS (30–60 FPS post\-computation)
▪Evaluate model accuracy and minimize false positives in detection pipelines
▪Deploy models on local servers, cloud platforms, or Nvidia GPU\-enabled systems
▪Build and present small\-scale dummy/proof\-of\-concept projects demonstrating model capabilities
▪Basic Python programming
▪YOLO (v5/v7/v8 or custom)
▪Image training \& annotation
▪Vision AI fundamentals
▪RTSP link integration
▪Open datasets (Kaggle, Roboflow)
▪Model accuracy \& algorithm basics
▪False positive reduction
▪FPS optimization (30–60 FPS)
▪Local / cloud / Nvidia GPU deployment
▪Prior demo/personal project with any object detection or classification model
▪Familiarity with OpenCV, NumPy, or PyTorch/TensorFlow basics
▪Understanding of precision, recall, mAP metrics
Job Types: Full\-time, Permanent, Fresher, Internship
Pay: ₹15,000\.00 \- ₹30,000\.00 per month
Work Location: In person
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