1.     Image processing and manipulation skills:

You should be well-versed in techniques such as filtering, segmentation, feature extraction, and object recognition.

2.     Proficiency in programming languages:

You should be skilled in programming languages such as Python, MATLAB, and C++.

3.     Knowledge of software tools:

You should have experience with image processing libraries such as OpenCV, SciPy, and MATLAB's Image Processing Toolbox.

4.     Knowledge of machine learning:

You should have an understanding of machine learning algorithms such as CNN, RNN, and SVM, and how they can be applied to image processing.

5.     Basic knowledge of mathematics and statistics:

You should have basic mathematical skills such as linear algebra, calculus, and probability theory, and understand how they relate to image processing.