Data Science with emphasis on Artificial Intelligence (AI) in TATEEDA

Data Science with emphasis on Artificial Intelligence (AI) віддалено Responsibilities: Data Analysis: Collect, clean, and analyze data from various sources, including structured and unstructured data. Data Modeling: Develop and apply machine learning and deep learning algorithms tocreate predictive models, classify data, perform clustering, and other data analysis tasks. AIIntegration: Implement and integrate artificial intelligence into various aspects ofbusiness and decision-making processes. Model Optimization: Evaluate and improve the performance ofmodels using optimization methods and parameter tuning. Data Visualization: Visualize the results ofdata analysis and models tocommunicate with stakeholders. Research: Conduct research inthe field ofData Science and artificial intelligence todiscover new methods and technologies that contribute toproject and business development. Requirements: Minimum 2years ofexperience inData Science. Deep knowledge ofmachine learning and statistics. Experience with programming languages such asPython, R, and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). Understanding ofthe fundamentals ofartificial intelligence and its application inbusiness. Proficiency inSQL for data extraction from databases. Strong communication skills and ability towork inateam. Education incomputer science, mathematics, statistics, orrelated field. Preferred Qualifications: Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud). Knowledge ofnatural language processing (NLP) methods. Experience with large datasets (Big Data). Experience indeveloping and deploying machine learning models into production environments. Flexible part-time schedule (with potential for transition tofull-time). Competitive salary and bonuses. Friendly work environment. Opportunities for career advancement.