About the Role
We're entering an exciting new chapter powered by AI and searching for talented individuals to join our team. The Personalization team within the Data Science organization owns the AI systems that dictate what users see across Food, Quik, and Shops. Our mission is to create a hyper-personalization layer for the app, developing real-time, cross-vertical recommendation and ranking systems that learn from user behavior across various engagements. As a senior technical lead on this team, you will help shape how the company approaches personalization at a regional scale, collaborating with top data science talent and pushing the boundaries using graph-based retrieval, transformer architectures, and real-time learning.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
What You'll Do
- Own hyper-personalization use cases across Food, Quik, and Shops by designing systems that learn user intent and preferences in real time, enhancing every product experience based on user behavior.
- Serve as a technical lead in exploring graph-based retrieval methods for recommendations, including evaluating and building knowledge graph pipelines for candidate generation and ranking at scale.
- Design and evaluate transformer-based architectures (XFY) for sequential and contextual recommendations, advancing the ranking and retrieval stack beyond classical machine learning models.
- Transition toward online/streaming learning systems that adapt to user behavior within a session, rather than solely relying on batch-trained models.
- Identify opportunities to share personalization signals, models, or infrastructure across Food, Quik, and Shops to maximize value and reduce redundant efforts.
- Contribute to a transformative AI initiative focused on personalization, shaping how generative AI and large language models enhance retrieval and ranking.
- Build a long-term vision for revolutionizing customer acquisition and engagement strategies, driven by data analysis and decision-making.
- Conduct exploratory analysis to understand user behavior across verticals, identifying new metrics to influence product refining and enhancements.
- Optimize ML models and instrumentation, surfacing new opportunities for product development.
- Provide product leadership through data-driven insights, addressing business concerns, understanding metric fluctuations, and leveraging experiment results to impact product decisions.
- Implement scalable machine learning algorithms for large-scale data production.
- Execute exploratory data analysis to discover growth opportunities and optimize functionalities.
- Answer complex analytical questions derived from large datasets, guiding the enhancement of the company's offerings.
- Define and track key metrics for personalization initiatives.
- Design and conduct randomized controlled experiments (A/B tests), analyze their results, and communicate outcomes to cross-functional teams.
- Continuously seek innovative data processing technologies and learning paradigms, ensuring operational excellence.
- Build and deploy retrieval-augmented generation (RAG) systems and integrate other applications of large language models within the personalization stack.
What You'll Need
- 7-10 years of experience in data mining, predictive modeling, time series analysis, machine learning, and Big Data methodologies, including the transformation and cleaning of both structured and unstructured data.
- An advanced degree in a quantitative field such as Physics, Statistics, Mathematics, Engineering, or Computer Science.
- Proven experience with deep learning techniques, particularly regarding attention mechanisms, retrieval models, and transformer-based architectures (XFY or similar) for ranking or recommendation issues.
- Experience working with knowledge graphs, graph neural networks, or graph-based retrieval systems is highly beneficial.
- 2-4 years of industry experience in personalization, recommendation, or search within a product-driven environment.
- Strong problem-solving abilities and proficient coding skills.
- Thorough understanding of A/B testing methodologies, classical machine learning, and deep learning techniques.
- Comprehensive knowledge of end-to-end recommendations, ranking, and retrieval systems.
- Familiarity with or an interest in developing online/streaming learning models that adjust in real time is a strong advantage.
- Proficiency and relevant experience in Python, SQL, Spark, and Hive.
- Experience with database technologies including Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL.
- Background in business intelligence and visualization tools, such as Tableau, MicroStrategy, ChartIO, Qlik; experience with geospatial data processing is a plus.
What We'll Provide You
Join a meaningful organization dedicated to impactful work while enjoying opportunities for personal growth and development:
- Collaborate and learn from inspiring colleagues within a vibrant community.
- Engage in purposeful work aimed at unlocking potential in a dynamic region.
- Discover daily opportunities for learning and professional growth.
- Enjoy a flexible work schedule of 4 days in the office and 1 day working from home, alongside remote capabilities for 30 days a year. Unlimited vacation days are also offered.
- Access comprehensive healthcare benefits and fitness reimbursements for various health activities, including gym memberships, health club access, and training classes.
