Required knowledge and skills: - Sufficient knowledge and experience in the field of artificial intelligence, machine learning and deep learning - Sufficient knowledge and experience in using Tensorflow or PyTorch frameworks and Scikit-learn and Keras libraries >- Sufficient knowledge and experience in Python programming
- Familiarity with sql and BI is an advantage
- Programming experience in big data platforms is an advantage
- Interested in learning new areas
- Creativity and providing solutions New skills
- Ability to work in a team
- Discipline and compliance with professional work principles
- Work experience in each of the cases mentioned in the following areas is considered an advantage:

Completing projects Artificial intelligence and data analysis in banking and financial fields: Fraud detection systems Validation and risk management systems Data mining of banking or financial data Implementation of anti-money laundering laws
sight Machine:
Familiarity with the basics of image and video processing

Familiarity with the OpenCV library
Familiarity with the concepts of face recognition and recognition, object and activity recognition, text recognition
Familiarity with video and image authentication
Speech processing:

familiarization with the basics of audio and classical speech processing
familiarization with the use of deep neural networks in the audio domain
familiarization with speech recognition and data synthesis methods Mining:

familiarization with data analysis ready platforms
familiarization with the concepts of data visualization and generating suitable reports
familiarization with big data processing
natural language processing:

mastery To the basics of natural language processing
familiarization with Persian and English natural language processing libraries
mastery of various language models and their applications
familiarization with methods of implementing sentiment analysis systems, text editing and summary Experience in implementing question and answer systems