Computer Vision

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)

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

Technical and Professional Requirements:

Primary skills:Technology- Artificial Intelligence- Computer Vision