Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow)
Python and ML/DL libraries (NumPy, Pandas, scikit-learn)
Building and deploying ML models
MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes)
Cloud platforms (AWS, Azure, GCP)
Understanding of CNNs, object detection, segmentation
Problem-solving skills