4+ years of experience applying AI to practical usesDevelop and train computer vision models for tasks like :Object detection and tracking (YOLO, Faster R-CNN, etc.)Image classification, segmentation, OCR (e.g., PaddleOCR, Tesseract)Face recognition / blurring, anomaly detection, etc.Optimize models for performance on edge devices (e.g., NVIDIA Jetson, OpenVINO, TensorRT).Process and annotate image / video datasets; apply data augmentation techniques.Proficiency in Large Language Models.Strong understanding of statistical analysis and machine learning algorithms.Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.Understanding of image processing concepts (thresholding, contour detection, transformations, etc.)Experience in model optimization, quantization, or deploying to edge (Jetson Nano / Xavier, Coral, etc.)Strong programming skills in Python (or C++), with expertise in :Implement and optimize machine learning pipelines and workflows for seamless integration into production systems.Hands-on experience with at least one real-time CV application (e.g., surveillance, retail analytics, industrial inspection, AR / VR).OpenCV, NumPy, PyTorch / TensorFlowComputer vision models like YOLOv5 / v8, Mask R-CNN, DeepSORTEngage with multiple teams and contribute on key decisions.Expected to provide solutions to problems that apply across multiple teams.Lead the implementation of large language models in AI applications.Research and apply cutting-edge AI techniques to enhance system performance.Contribute to the development and deployment of AI solutions across various domainsEducation / Qualification (if any Certification) :
Bachelor's degree in Computer Science, Information Technology, or a related field.
Skills Required
AI ML