Automation Lead at Careem
Dubai, , United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

03 Nov, 25

Salary

0.0

Posted On

04 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organisation that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

WHY THIS ROLE MATTERS AT CAREEM

Careem exists to simplify and improve the lives of people in our region. AI is a key driver of that mission. Whether it’s predicting demand, optimizing captain incentives, improving delivery ETA accuracy, or automating customer care, you’ll be helping to build real systems that impact millions of people across the Middle East, North Africa, and Pakistan.
This is a hands-on role where you’ll ship models into production, experiment fast, and learn alongside a talented team that’s driving meaningful change.

WHAT YOU’LL DO

Build, train, and evaluate machine learning models for key services like ride-hailing, food delivery, and payments

  • Work with real-world data and translate it into features, signals, and insights
  • Collaborate with operations, engineers, product managers, and analysts to tackle challenges like OCR based partner onboarding, dynamic pricing, route optimization, churn prediction, and fraud detection
  • Run experiments, track model performance, and help roll out models into live systems
  • Improve the way we serve and monitor machine learning models
  • Contribute to a strong team culture of learning, iteration, and accountability

-
Loading...