Artificial intelligence internship

ORCHID ISLAND REAL ESTATE

Marrakech

Stage

Sur site

il y a 3 heure(s)

Job Title: AI/ML Intern

Location: On-site

Duration: 2–6 months

Start Date: As soon as possible

Compensation: Unpaid

Job Description:

We are looking for highly motivated AI/ML interns with a strong foundation in machine learning, data processing, and backend integration. As an intern, you will work closely with our engineering and data science teams to build, train, and deploy intelligent systems that support real-world decision-making and user interactions.

Key Responsibilities:

Design and implement machine learning pipelines, including model training, evaluation, and optimization.

Automate data collection from web sources using tools such as Selenium and BeautifulSoup.

Perform data cleaning, transformation, and storage using Python, Pandas, and SQL.

Work with streaming frameworks like Apache Kafka and distributed computing systems like Apache Spark.

Develop and deploy NLP solutions using modern LLM frameworks and retrieval-based architectures.

Integrate model outputs into dashboards or APIs for business users.

Collaborate using version control tools (e.g., Git) and document your work for reproducibility.

Required Skills:

Proficiency in Python for data science and automation tasks.

Experience with machine learning libraries.

Familiarity with NLP techniques and frameworks (e.g., Hugging Face Transformers, LangChain).

Solid understanding of relational databases and SQL (e.g., PostgreSQL).

Basic understanding of data streaming and distributed processing (Kafka, Spark).

Comfort with Linux environments, Docker, and Git.

Preferred Qualifications:

Experience working with LLMs or RAG-based architectures.

Familiarity with MLOps tools and model monitoring dashboards (Grafana, MLflow).

Knowledge of REST APIs and backend integration.

What You'll Gain:

Hands-on experience in deploying AI/ML systems in a real-world context.

Exposure to scalable data engineering and production ML workflows.

Mentorship from industry professionals and opportunities to contribute to impactful projects.

How to Apply:

Please submit your CV, GitHub/portfolio (if available), and a short paragraph on why you're interested in this role to .