Data Scientist

Development of Planning and Arrangement Services for a specific field. Must have a strong background in machine learning and data analysis, as well as experience working with natural language processing (NLP) and computer vision. Would also need to be proficient in Python programming and have experience working with the relevant libraries and tools, such as TensorFlow, Keras, scikit-learn, and OpenCV.

Additionally, the data scientist would need to have experience working with cloud platforms such as Amazon Web Services (AWS) or Google Cloud Platform (GCP), as these would be needed for hosting and deploying the AI system. They would also need to be knowledgeable about data privacy and security regulations, as the system would be handling sensitive personal information.