The company is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organization that inspires. Since 2012, the company has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan. We’re now entering our next chapter — one powered by AI.
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We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make the company work smarter and move faster.
The company Data Science team’s mission is to drive competitive value from data at scale by building AI models to optimize user experiences, decision-making, and operational efficiencies, and lead the region’s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region while innovating on our user experience using GenAI.
Responsibilities:
- Collaborate in building a long-term vision of how we can rethink GenAI at the company.
- Drive exploratory analysis to understand the ecosystem and user behavior; identify new levers for metric improvements.
- Shape and influence models and instrumentation to optimize the product experience and generate insights on new opportunities.
- Provide product leadership by sharing data-based recommendations, influencing product and business decisions.
- Implement a scalable machine learning GenAI solution for production use on big data.
- Design and run randomized controlled experiments, analyze data, and communicate results with other teams.
- Challenge the status quo, continuously investigate new data processing technologies, and ensure adherence to industry best practices.
- Build and deploy retrieval augmented generation systems and other applications of large language models.
- Collaborate with cross-functional teams, including data scientists, product managers, and domain experts, to deliver AI-driven solutions.
Requirements:
- 4-6 years of experience in machine learning, software engineering, and Big Data methodologies.
- Advanced degree in a quantitative discipline (Physics, Statistics, Mathematics, Engineering, or Computer Science).
- Strong understanding of transformer architectures, attention mechanisms, and recent advancements in Large Language Models (LLMs).
- Experience with advanced prompting techniques and frameworks such as LangChain.
- Proficiency in developing observable LLM-powered systems.
- Familiarity with machine learning frameworks (e.g. PyTorch or TensorFlow).
- Experience with distributed training frameworks and optimization techniques is advantageous.
- Knowledge of NLP concepts, sequence-to-sequence models, and self-supervised learning techniques.
- Proficiency in creating scalable APIs using FastAPI or similar frameworks.
- Strong understanding of good software engineering practices and experience with SQL and NoSQL databases.
- Proficiency in Python, SQL, and familiarity with data processing frameworks like Spark and Hive.
Language Requirements: Not specified.
