Postúlate en Kit Empleo: kitempleo.com.ar/empleo/meln8

We are a general technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join an exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.

Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.

We look for people who embody:

Innovation to solve the hardest problems.

‍Accountability for every result.

‍Integrity always.

Role overview

We are seeking a pragmatic leader who can bridge the gap between advanced analytical research and practical, scalable implementation. As a Principal Data Science Engineer, you will leverage knowledge graphs, statistical models, and large language models to create hybrid inference systems that drive business value. You will be a researcher and a builder in equal measure.

As a Principal Data Science Engineer at Qodea, you’ll:

- Lead the development of advanced recommendation systems and AI-driven reasoning tools.
- Design hybrid inference systems that combine LLM outputs with structured data sources like knowledge graphs.
- Implement data vectorization techniques for both text and graph data.
- Research and apply novel graph-based technologies and algorithms to solve complex problems.
- Architect solutions that are robust,



reliable, and capable of scaling to production environments.
- Influence company strategy by anticipating future needs and delivering through ambiguity.

Things that will make you stand out:

- Expert understanding of graph data modelling and analytics using tools like Neo4j.
- Hands-on experience integrating LLMs for tasks such as text analysis and data mapping.
- Proficient in prompt engineering and guiding LLM behaviour for specific business outcomes.
- Solid experience with distributed computing frameworks for large-scale data transformation.
- A proven track record of expressing well-reasoned perspectives to drive the best technical outcomes.

Nice to have:

- Prior experience in the adtech or fintech industries.
- Masters or PhD in a relevant AI or quantitative field.

What we want from you:

We are building a world-class delivery centre in Buenos Aires and want the best engineering talent in the region. We believe the best work happens when we collaborate in person. We expect a genuine effort to be present in the office one to two days a week when not on project work to help build our culture and engage in spontaneous problem-solving. Your energy and presence will be vital in making our studio a hub of creativity and innovation.

Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you:

- 10 days PTO + 17 days paid public holidays
- Pension
- Law 19032 (Social Security)
- Family allowance
- National Employment Fund
- Accident Insurance
- Life Insurance
- Work from Home Allowance
- Private Medical Insurance
- Birthday leave
- 10 paid learning days per year
- Bonusly 100 points per month to recognise colleagues

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/meln8

📌 Principal Data Science Engineer - Argentina (Buenos Aires)
🏢 Sin nombre
📍 Buenos Aires