Technology jobs in Dubai, United Arab Emirates

About the role

As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users. As a Sr. Data Scientist (AI & ML) on the global AI hub , your mission will be to design, build, and ship the machine learning and generative AI systems that power decisions across product and business. You will own a particular domain end to end, working closely with product and business managers as part of a talented team of data scientists and machine learning engineers. You will own the full ML lifecycle,  from problem framing, data modeling, and feature engineering through model training, deployment, serving, and monitoring in production. Many of our initiatives will focus on leveraging Generative AI and LLMs for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations at scale.

What you'll bring

• Proven experience building, deploying, serving, and monitoring ML models in production, with a strong grasp of MLOps practices.
• Strong data and ML engineering skills, including building and orchestrating data and training pipelines (e.g. via Airflow) and robust feature engineering.
• Excellent SQL and competence with reproducible analysis and modeling in Python.
• Solid statistical foundations, including experiment design and analysis (A/B and multivariate) and inferential, causal, and predictive methods.
• Familiarity with data modeling and dimensional design.
• Strong command over the entire ML lifecycle, from problem formulation and data auditing through modeling, deployment, interpretation, and presentation.
• Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
• Bachelor's degree in engineering, computer science, technology, or similar fields.
• 5+ years of experience across data science, machine learning engineering, and generative AI, including shipping ML models to production.
• A good problem solver with a 'figure it out' growth mindset.
• An excellent collaborator.
• An excellent communicator.