Data Scientist


• Develop and optimize computer vision models for object detection (YOLO, Faster R-CNN, SSD) and image classification (ResNet, MobileNet, EfficientNet, ViTs).
• Work with OCR technologies (Tesseract, EasyOCR, CRNN, TrOCR) for text extractionfrom images.
• Work with PyTorch, TensorFlow, OpenCV for deep learning and image processing.
• Implement sequence-based models (RNNs, LSTMs, GRUs) for vision tasks.
• Optimize software for real-time performance on multiple platforms.
• Implement and deploy AI models via Flask/FastAPI and integrate with SQL/NoSQL databases.
• Use Git/GitHub for version control and team collaboration.
• Apply ML algorithms (regression, decision trees, clustering) as needed.
• Review code, mentor team members, and enhance model efficiency.
• Stay updated with advancements in deep learning and multimodal AI.