Identify opportunities to use AI to improve quality and reduce costs and collaborate with production, marketing, and sales teams to identify challenges and provide solutions.
Collect, clean, and analyze big data to extract patterns.
Design and implement machine learning and deep learning algorithms to solve supply chain issues, including identifying supply chain weaknesses and providing data-driven solutions.
Train AI models based on existing data.
Test and evaluate the performance of models and optimize them to improve accuracy and efficiency.
Compile technical documentation and analytical reports to explain results and processes.
Apply AI algorithms to analyze consumer behavior and identify purchasing patterns to develop new products.
Continuously monitor the performance of models and algorithms and provide comprehensive and practical reports to executive and management teams.
Direct manager: IT manager.
Probation period: 3 months.
Working hours and days: Saturday to Wednesday from 7:30 am to 4:30 pm.
Travel requirements: Limited.
Benefits: periodic performance evaluation bonus, supplementary insurance, special packages, lunch, corporate loans, and opportunity to participate in training courses and update knowledge and skills.
Requirements:
Proficient in relevant programming languages such as Python, Java, etc.
Experience working with PostgreSQL databases and data analysis tools such as SQL, Pandas, and NumPy.
Familiarity with artificial intelligence frameworks such as TensorFlow, PyTorch, and Keras.
Familiarity with machine learning algorithms and deep learning techniques.
Deep understanding of mathematical concepts including linear algebra, probability, and statistics.
Analytical thinking, problem-solving ability, and creative thinking.