Computer Vision

Job description

## **Key Responsibilities:** - Develop and implement computer vision algorithms for image and video analysis - Build train and optimize deep learning models CNNs transformers etc - Work on use cases like object detection classification segmentation tracking and OCR - Perform data preprocessing annotation and augmentation - Optimize models for performance scalability and real time inference - Integrate models into production systems APIs pipelines edge devices - Collaborate with cross functional teams data engineers backend developers product teams - Stay updated with the latest advancements in AI ML and computer vision - Required Skills - Strong programming skills in Python - Hands on experience with OpenCV NumPy SciPy - Experience with deep learning frameworks TensorFlow PyTorch Keras - Solid understanding of computer vision techniques - Experience with object detection frameworks YOLO Faster R CNN SSD etc - Knowledge of image processing and video analytics - Experience with model deployment Flask FastAPI Docker Kubernetes - Familiarity with GPU acceleration CUDA is a plus - Exposure to cloud platforms AWS Azure GCP ## **Technical Requirements:** - Primary skills Technology Artificial Intelligence Computer Vision ## **Additional Responsibilities:** - Experience with transformer based vision models ViT DETR - Knowledge of MLOps pipelines and CI CD for ML - Experience with edge AI embedded systems - Background in mathematics statistics or related field ## **Preferred Skills:** Technology->AI-Data science->Computer Vision