dubizzle, part of the region’s first homegrown unicorn Bayut & dubizzle, is offering a 6-month internship in its Business Intelligence Department for passionate and talented individuals eager to learn and contribute in the field of Machine Learning.

This internship offers a rare opportunity to work in a fast-paced, data-driven environment with experienced mentors, innovative projects, and a culture that values impact and growth. As a Machine Learning Intern, you will be engaged in the full lifecycle of data science and machine learning initiatives — from raw data cleaning to model deployment — and collaborate across various business departments.

Key Responsibilities:

• Write SQL queries on large datasets to support machine learning models.

• Perform data exploration and assess data quality and patterns.

• Use Python to analyze data and develop statistical models to address specific business challenges.

• Evaluate and tune machine learning models to optimize performance.

• Deploy machine learning models into production with guidance from senior team members.

• Build customer-facing reports and dashboards to track performance metrics.

• Participate in on-call rotations to support live ML models.

• Collaborate with cross-functional teams including product, tech, finance, and trust & safety.

• Contribute to building a strong, innovative data team culture.

Requirements:

• Bachelor’s degree in AI, Statistics, Mathematics, Operations Research, Engineering, Computer Science, or a related quantitative field.

• Understanding of statistical modeling and mathematics.

• Basic knowledge of machine learning algorithms.

• Basic proficiency in SQL and data visualization tools (e.g., Periscope).

• Strong problem-solving abilities and communication skills.

Benefits:

• Contribute to platforms with over 5 million users in the UAE and the wider region.

• Build your resume and professional network.

• Possibility of full-time employment after the internship.

• Experience working in a multicultural company with 50+ nationalities.

• Access to world-class learning and development resources.

• Work in a dynamic and inclusive environment committed to diversity.

How to Apply:
Interested candidates can apply through LinkedIn or connect directly with the hiring team. Make sure to highlight your technical strengths and passion for machine learning in your application.