Ai Machine Learning Intern
il y a 3 jours
Company Description
Orchid Island Real Estate Marrakech bridges Morocco's rich cultural heritage with global standards in real estate, offering authentic, sustainable, and elegant property experiences. Specializing in luxury properties, including Atlas Mountain villas, exclusive riads, and prime development lands, the company connects clients with unique investment opportunities in Marrakech. With deep market insights and elite partnerships, Orchid Island provides personalized services for buyers, sellers, and global investors. Whether for a second home, dream relocation, or strategic investment, Orchid Island helps its clients make Marrakech their own.
Role Description
This is an on-site internship role based in Marrakech for an AI Machine Learning Intern. The intern will assist in developing, testing, and refining machine learning models to enhance business processes and decision-making within the real estate sector. The role includes data collection, preprocessing, and analysis, implementing algorithms, and collaborating with the tech team to support Orchid Island's innovative initiatives. This position provides an excellent opportunity to gain hands-on experience in applying AI and machine learning to real-world challenges.
Qualifications
- Technical skills including proficiency in Python, TensorFlow, or PyTorch, and knowledge of machine learning algorithms
- Data analysis and preprocessing skills, with familiarity in working with large datasets and data visualization tools
- Strong mathematical and statistical foundations, including linear algebra, probability, and optimization concepts
- Problem-solving and critical-thinking skills to develop effective AI solutions for real-world challenges
- Knowledge of AI applications in real estate and experience with GIS or spatial analysis is a plus
- Currently pursuing or recently completed a Degree in Computer Science, Data Science, Machine Learning, or related field
- Excellent communication skills and the ability to collaborate in a dynamic team environment
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