AI & Machine Learning Intern at Orchid Island Agency

il y a 2 jours


Marrakech, Marrakesh-Safi, Maroc Orchid Island Real Estate Temps plein 20 000  - 25 000  par an

ORCHID ISLAND REAL ESTATE

Marrakech

Stage

Sur site

il y a 4 heure(s)

Internship Opportunity: AI & Machine Learning Intern at Orchid Island Agency

About Orchid Island Agency:

Orchid Island Agency is at the forefront of integrating AI and machine learning in real estate solutions. Our mission is to optimize property investment, management, and client experiences using cutting-edge technology.

Role Overview:

We are seeking a talented AI & ML Intern to support the development of intelligent systems that improve real estate operations. This role is ideal for students or recent graduates with a strong interest in AI, machine learning, and data-driven solutions.

Responsibilities:

  • Assist in designing, developing, and testing AI models for property valuation, lead scoring, and customer behavior analysis.

  • Work with datasets to clean, preprocess, and analyze real estate data.

  • Collaborate with marketing and web development teams to integrate AI solutions into live platforms.

  • Research new AI/ML techniques and tools applicable to real estate solutions.

  • Contribute to internal projects and prototype AI applications that enhance user experience.

Requirements:

  • Knowledge of Python, R, or similar programming languages.

  • Understanding of machine learning algorithms, neural networks, and data analysis.

  • Familiarity with libraries such as TensorFlow, PyTorch, scikit-learn, or Pandas.

  • Strong problem-solving skills and logical thinking.

  • Passion for AI applications in real estate and tech innovation.

Benefits:

  • Hands-on experience with AI and ML projects impacting real-world business processes.

  • Mentorship from experienced data scientists and tech professionals.

  • Opportunity to contribute to cutting-edge projects in proptech.

  • Build a strong portfolio of AI-driven solutions in real estate.

How to Apply:

Send your CV, portfolio, and a short motivation note to



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