Machine Learning Intern: End-to-End DS & Production ML

HireHouse; United Arab Emirates; Sur place; AED 20 000 - 31 000; Plein temps

Avantages offerts par ce poste

Mentorship

Impactful projects

Cloud data warehouse environment

Learning & development access

Global, diverse team

Résumé du poste

Bayut & dubizzle invites applications for a 6-month Machine Learning Intern in the Business Intelligence department. World-class mentors, a fast-paced environment, and an inclusive culture attract high-p performing interns and offer a platform to make a meaningful impact.

The role covers end-to-end Data Science, from data cleaning to model deployment, in a cloud-based data warehouse setting with cross-functional collaboration.

Qualifications

• Pursuing a Bachelor's degree in a 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.

Responsabilités

• Query large datasets with SQL and feed ML models.
• Perform data exploration to find patterns and assess data quality.
• Utilize Python to analyze data and build statistical models.
• Evaluate ML models and fine-tune parameters for business impact.
• Collaborate with senior peers to deploy ML models in production.
• Build customer-facing reporting tools to provide insights and metrics.

Connaissances

SQL

Python

Statistical modelling

ML basics

Communication

Formation

Bachelor's degree in AI, Statistics, Math, Operations Research, Engineering, CS, or related field

Outils

Periscope

Description du poste

Bayut & dubizzle invites applications for a 6-month Machine Learning Intern in the Business Intelligence department. World-class mentors, a fast-paced environment, and an inclusive culture attract high-p performing interns and offer a platform to make a meaningful impact.

The role covers end-to-end Data Science, from data cleaning to model deployment, in a cloud-based data warehouse setting with cross-functional collaboration.