About the job
Join a pioneering global technology group that's redefining the future. At Qodea, we empower high-caliber professionals to tackle high-stakes challenges that shape their careers. By becoming part of our team, you’re not just taking on projects; you're pioneering solutions to problems that have yet to be resolved.
Our elite network of talent is sought after by industry giants such as Google, Snap, Diageo, PayPal, and Jaguar Land Rover, especially when deadlines are tight and previous attempts have faltered. Here, you won't engage in traditional consultancy; instead, you will operate at the intersection of technology, design, and human behavior to deliver impactful results swiftly. This is work that leaves a legacy, and you’ll take pride in sharing your journey.
We seek individuals who embody:
- Innovation in solving complex challenges.
- Accountability for every outcome.
- Integrity in all endeavors.
Role Overview
We are on the lookout for a visionary leader who can seamlessly connect advanced analytical research with practical, scalable solutions. As a Principal Data Science Engineer, you will utilize knowledge graphs, statistical models, and large language models to develop hybrid inference systems that generate substantial business value. You will be both a researcher and an innovator, striking a balance between theoretical insights and practical application.
Responsibilities:
- Lead the development of advanced recommendation systems and AI-driven reasoning tools.
- Design hybrid inference frameworks that integrate LLM outputs with structured data sources like knowledge graphs.
- Implement data vectorization techniques for both textual and graphical data.
- Research and deploy novel graph-based technologies and algorithms to address intricate problems.
- Architect solutions that are resilient, trustworthy, and scalable for production environments.
- Shape company strategy by foreseeing future demands and navigating uncertainty.
Qualifications That Will Set You Apart:
- Deep expertise in graph data modeling and analytics using tools such as Neo4j.
- Hands-on experience integrating LLMs for tasks like text analysis and data mapping.
- Proficiency in prompt engineering to direct LLM behavior for specific business outcomes.
- Solid experience with distributed computing frameworks for large-scale data transformation.
- A proven history of articulating well-reasoned perspectives to drive optimal technical results.
Preferred Qualifications:
- Previous experience in the adtech or fintech sectors.
- Master's or PhD in a relevant AI or quantitative discipline.
What We Expect:
We are developing a world-class delivery center in Buenos Aires and are eager to attract the finest engineering talent in the region. We believe that the best work flourishes through in-person collaboration. A genuine commitment to being present in the office is essential.

