Job 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.
About the role
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 food and grocery 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

What you'll need
Must-haves:

• Bachelor's or Master's in Computer Science, Data Science, Statistics, or a related technical field

• 4-6 years of experience working with machine learning in any form: internships, research, personal projects, Kaggle competitions, or a previous job

• Solid Python skills, especially with libraries like pandas, NumPy, and scikit-learn

• A strong grasp of ML fundamentals like classification, regression, cross-validation, and evaluation metrics

• Familiarity with at least one ML framework such as TensorFlow, PyTorch, or XGBoost

• Clear communication, curiosity, and the ability to work well in a team

Nice-to-haves:

• Exposure to deep learning techniques in NLP, vision, or recommender systems

• Experience working with large datasets using Spark, Hive, or cloud tools

• Familiarity with model deployment and monitoring workflows (Airflow, MLflow, etc.)

• Interest in solving real operational challenges like logistics, fraud detection, or customer retention

• A GitHub profile or project portfolio that shows what you've built

What you'll get

• A chance to work on AI problems at regional scale that improve lives and drive real business outcomes

• A smart, motivated team that values learning and practical impact

• Flexibility to work remotely, with strong support for collaboration and ownership

• A front-row seat to how AI is transforming mobility, delivery, and digital services in emerging markets

What we'll provide you
We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in the office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

Skills Required