Staff AI Engineer I

Join to apply for the Staff AI Engineer I role at Careem.

Careem is building the Everything App for the greater Middle East, making it easier to move around, order food and groceries, manage payments, and more. 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.

The Careem Data Science team's mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region's AI ecosystem. As a member of this team, you will work with top data science talent and innovate on our user experience using GenAI.

• Lead a 0-1 AI transformation for Careem app from personalization perspective.
• Build a long-term vision on how we can rethink our customer acquisition and engagement strategies leveraging data in our decision making.
• Drive exploratory analysis to understand the ecosystem, user behavior; identify new levers to move metrics and build models of user behaviors for analysis and product enhancements.
• Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
• Provide product leadership by sharing data-based recommendations to communicate state of business, root causes of metric changes, and experimentation results influencing product and business decisions.
• Implement scalable machine learning algorithms that will be used in production on big data.
• Embark on exploratory data analysis projects to achieve better understanding of phenomena and discover untapped areas of growth and optimization.
• Answer complex analytic questions from big data sets to help Careem shape its products and services.
• Define and track the appropriate key metrics for specific projects.
• Design and run randomized controlled experiments, analyze results, and communicate findings with other teams.
• Continuously challenge the status quo and adopt industry best practices in data processing technologies.
• Build and deploy retrieval augmented generation systems and other applications of large language models.

• 10+ years of experience in data mining, predictive modeling, time series analysis, machine learning, LLM, Big Data methodologies, and data cleaning for structured and unstructured data.
• Advanced degree in a quantitative discipline (Physics, Statistics, Mathematics, Engineering, or Computer Science).
• Solid experience with deep learning techniques (e.g., attention, retrieval models).
• 3-4 years of industrial experience in personalization, recommendation or search; preferably in a product-driven company.
• LLM and GenAI experience.
• Strong problem solving and coding skills.
• Solid knowledge of AB testing, classical ML and DL.
• Solid understanding of recommendations, ranking and retrieval.
• Proficiency in Python, SQL, Spark, Hive.
• Experience with database technologies (e.g., Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
• Experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) and geospatial data processing is a plus.

Mid-Senior level

Full-time

Engineering and Information Technology

Technology, Information and Internet and IT Services and IT Consulting

Note: Referrals increase your chances of interviewing at Careem. Get notified about new Artificial Intelligence Engineer jobs in Dubai, United Arab Emirates.