Automation and AI Manager

Careem; Dubai; Hybrid; AED 293,000 - 441,000; Full time

Job summary

A leading tech company in the region is seeking a Machine Learning Specialist to improve lives through AI. You will develop and deploy machine learning models for food delivery and payments, working in a collaborative team. Ideal candidates have a strong background in Python and machine learning. This full-time position offers flexibility for a hybrid work structure and unlimited vacation days.

Benefits

Unlimited vacation days

Healthcare benefits

Fitness reimbursements

Opportunity to work remotely

Qualifications

• 4-6 years of experience with machine learning in research or jobs.
• Solid Python skills and familiarity with ML libraries.
• Strong grasp of classification, regression, and evaluation metrics.

Responsibilities

• Build and evaluate machine learning models for various services.
• Collaborate with teams to solve challenges in data and ML.
• Track performance and help roll out models.

Skills

Python

Machine Learning Fundamentals

Data Science

Statistical Analysis

Team Collaboration

Education

Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or related field

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

Job description

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 and 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.