Machine Learning - Intern

Bayut | dubizzle; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

An innovative company is seeking a passionate Machine Learning Intern to join their Business Intelligence team. This exciting internship offers the chance to engage in the full Data Science lifecycle, from data cleaning to advanced machine learning development. Collaborating with talented professionals, you will work in a dynamic environment, tackling real-world business problems and contributing to impactful projects. With a commitment to diversity and inclusion, this opportunity not only enhances your resume but also allows you to build a valuable network in the tech industry. If you're eager to learn and make a difference, this internship is for you!

Benefits

Multicultural work environment

Access to Learning & Development tools

Networking opportunities

Potential for full-time career

Qualifications

• Bachelor’s degree in a quantitative field is required.
• Basic knowledge of machine learning algorithms and SQL.

Responsibilities

• Query large datasets with SQL and feed ML models.
• Utilize Python for data analysis and building statistical models.

Skills

Statistical modeling

Problem-solving skills

Communication skills

Data exploration

Education

Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, or Computer Science

Tools

SQL

Python

Periscope

Job description

Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.

World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.

As a Machine Learning Intern, you will be participating in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.

You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Query large datasets with SQL and feed ML models.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analyzing data and building statistical models to solve specific business problems.
• Evaluate ML models and fine tune model parameters considering the business problem behind.
• Collaborate with senior peers to deploy ML models in production.
• Build customer-facing reporting tools to provide insights and metrics which track system performance.
• Contribute towards a strong team culture and ambition to be on the cutting edge of big data.
• Participate in the off-hours on call stability rotation to support live ML models.

Minimum Requirements:

• Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
• Statistical modelling and math.
• Basic knowledge of Machine learning algorithms.
• Basic knowledge of SQL.
• Basic knowledge of visualization tools such as Periscope.
• Excellent verbal and written communication.
• Strong problem-solving skills.

Benefits:

• Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region.
• Strengthen your resume and build your network.
• Opportunity to find a full-time career with the region's leading organization.
• Working in a multicultural environment with over 50 different nationalities.
• Access to the Learning & Development tools and courses provided by the company.

Bayut & dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.