Computer Vision Intern

Visual Grab is looking for a motivated Computer Vision Intern who wants to work on real-world AI and Computer Vision problems across manufacturing, robotics, transportation, healthcare, retail, security, agriculture, and other industries.The intern will work closely with our Computer Vision team on the complete development lifecycle—from understanding a problem and preparing datasets to training, evaluating, optimizing, and deploying Computer Vision models.Key ResponsibilitiesDevelop and experiment with Computer Vision and Deep Learning models.Work on Object Detection, Classification, Segmentation, Pose Estimation, OCR, Multi-Object Tracking, Activity Recognition, Anomaly Detection, Visual Inspection, and 3D Vision.Prepare, clean, annotate, and analyze image/video datasets.Train and fine-tune models using frameworks such as PyTorch, TensorFlow, Ultralytics YOLO, OpenCV, and Hugging Face.Evaluate models using appropriate metrics such as Precision, Recall, F1-score, IoU, mAP, latency, and FPS.Improve model accuracy and robustness through data augmentation, hyperparameter tuning, error analysis, and dataset improvement.Optimize models for real-time and edge deployment using techniques such as quantization, pruning, ONNX and TensorRT.Build Computer Vision pipelines integrating cameras, models, APIs, databases, and application software.Work on research-oriented Proof-of-Concepts and customer projects.Explore Vision Transformers, Vision-Language Models, Foundation Models, Multimodal AI and Agentic AI.Document experiments, results, observations, and technical findings.Desired SkillsRequiredPython programmingBasic understanding of Machine Learning and Deep LearningFundamentals of Computer VisionOpenCVNumPyUnderstanding of CNNs and neural networksWillingness to experiment, research, and learnGood to HavePyTorch or TensorFlowYOLOImage segmentation modelsTransformers / Vision TransformersTracking algorithms such as ByteTrack, DeepSORT or BoT-SORTGit/GitHubLinuxDockerONNX / TensorRTNVIDIA GPU developmentRaspberry Pi / Jetson or other edge devicesExample ProjectsInterns may get exposure to projects such as:Automated Visual Inspection for ManufacturingDefect and Anomaly DetectionWorker–Machine Safety AnalyticsObject Detection and TrackingHuman Pose and Activity RecognitionRetail and Logistics Video AnalyticsTraffic and Transportation AnalyticsRobotics Vision and Object PickingOCR and Document IntelligenceMulti-Camera Tracking3D Vision and Depth EstimationEdge AI deploymentWho Should Apply?Students or recent graduates from:Computer Science | AI/ML | Electronics | Robotics | Mathematics | Data Science | related engineering disciplinesWe are particularly interested in candidates who enjoy building things, experimenting with models, reading research papers, debugging difficult problems, and converting research ideas into working products.What You Will GainThis internship is designed to provide exposure beyond simply training models.You will learn how real Computer Vision products are developed through:Problem Definition → Data Collection → Annotation → Model Selection → Training → Evaluation → Error Analysis → Optimization → Deployment → Real-World ValidationYou will work with a team focused specifically on Computer Vision AI and real-world product development.Business Unit: Visual Grab – Computer Vision

Company: Miracle Eye Private Limited