The company is on a mission to provide people with more visibility, control, and freedom over their money. Since 2015, we have grown to serve over 75 million customers with a comprehensive suite of financial products, including spending, saving, investing, and exchanging. Our growth is powered by our people and culture, with over 13,000 employees collaborating globally, both in offices and remotely.
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
Our Data Science team is dedicated to solving complex problems with practical solutions, enhancing customer experiences at the company. As a Deep Learning Engineer, you will work with advanced large language models (LLMs) to develop transformative products that impact millions of customers globally. Your role will include collaboration with cross-functional teams, including Product Owners, Software Engineers, Data Analysts, and Operations Managers, to create automated and scalable solutions that improve customer interactions.
Key Responsibilities:
- Build AI-driven features, such as personal assistants, chatbots, and copilots from scratch.
- Develop user-focused and backend features using deep learning.
- Deliver impactful, scalable, data-driven AI solutions.
- Collaborate with Product, Engineering, and Data teams to address deep learning challenges.
- Integrate cutting-edge AI technologies to foster innovation at the company.
Requirements:
- Experience in deep learning, particularly in natural language processing and large language models.
- A bachelor’s degree in a STEM field (mathematics, computer science, engineering).
- Proficiency in data science tools (Python, SQL) and production tools.
- Strong understanding of probability and statistics fundamentals.
- Big-picture thinking to diagnose problems and implement solutions.
- Excellent communication and collaboration skills for working with Product Owners and business leaders.
Nice to Have:
- A master’s or PhD in a quantitative discipline.
- Solid experience with additional programming languages, such as Java, Scala, or C++.
- Experience at a large tech company valued over $15 billion.
- Participation in academic competitions (e.g., Olympic medals in physics, mathematics, economics, or programming).
If you're ready to break barriers and help shape the future of the company's AI-driven capabilities, we would love to hear from you!
